Job Title : Offer Lead - Data Platform & Cloud Migration Min Exp : 8-15 years About the job: Are you ready to make a global impact with your expertise in data platform and cloud migration? Does working in a fast-paced dynamic environment excite you? Artefact offers the opportunity to work with world-class brands like Samsung, L’Oreal, and LVMH. Join our team of talented professionals and help us transform businesses through data-driven insights. Who We Are: Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel. We have 1300 employees across 27 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 300+ client base around the globe. Find out more at our website . What will you be doing: You will be at the forefront of our data engineering missions. You'll be responsible for orchestrating successful Data Platform and Cloud Migration projects ensuring timely and effective project delivery, enhancing respective offerings, and nurturing a high-performing offshore team. Key responsibilities are: Project Delivery Excellence Oversee the entire lifecycle of data platform and cloud migration projects from inception to completion Collaborate with onshore and client teams to define project scope, timelines, and deliverables. Proactively identify and mitigate project risks to ensure smooth execution. Lead a team of offshore experts, fostering a culture of excellence and innovation. Provide technical guidance and support to offshore team members on data engineering technologies and best practices. Offer Development: Support RFP and proposal processes, highlighting our unique value proposition. Collaborate with global leadership to expand our offshore capabilities and to develop compelling data engineering solutions. Stay updated on industry trends and emerging technologies to ensure our solutions remain competitive. Candidate validation and upskilling: Recruit and hire talented data engineering professionals in the offshore region. Conduct interviews and assessments to evaluate candidates' skills and fit with our team culture. Mentor and develop offshore team members to enhance their skills and capabilities. What are we looking for: We’re looking for forward-thinkers and “quick studies” who are poised to make impact, are ready to help our clients in their digital and data journeys, and will help to position Artefact at the forefront of innovation and disruption. As someone who will help build our India office from the ground up, we need a leader with proven ability to design, implement and manage advanced data platforms. She will have extensive experience in leading successful cloud migration projects ensuring seamless transition of data across systems. We’ll give you the tools and training to be successful, and you’ll come armed with the following: Solid understanding of data warehousing and data modeling concepts Deep understanding of multiple cloud platforms, tools and technologies (AWS, GCP, Azure, Databricks, Snowflake, Informatica, DBT, Terraform, MS Fabric, Kafka, Spark, Redshift, etc.) and ability to leverage their capabilities for data-driven solutions Strong programming aptitude (e.g., Python, SQL) for data manipulation, analysis, and automation Solid working knowledge of RESTful APIs and other integration methods to enable data interoperability and platform extensibility Deep experience in implementing best practices: CICD, DevOps, SRE, agile, scrum Excellent communication skills to effectively collaborate with stakeholders, both technical and non-technical, and build strong relationships Experience in recruiting and developing technical talent in India Why you should join us Be on a startup team at an established global company: you will be joining a team of driven entrepreneurs. Artefact India is at the beginning of an exciting growth journey and you’ll be part of the founding team! Get immersed into the data and AI industry: meet the most innovative partners, deliver cutting-edge projects, and see the industry from backstage. Develop your skill set: every day offers new challenges and new opportunities to learn. At Artefact, we take training very seriously, and you’ll be coached and mentored on your technical, consulting, and interpersonal skills on a regular basis. Make an impact for our clients: come and help industry leaders across the globe transform through data! We are devoted to our clients’ success and work hand-in hand with them to upskill their teams and help them reach their goals. Join a community: join a team of 1300 experts and professionals worldwide that will always be willing to help; be part of a startup environment in India, which will make you feel welcome and help you thrive. Show more Show less
Data Engineer Artefact India Location : Pune Work Mode : Hybrid Notice : IMMEDIATE/30days/Serving Notice Only https://www.artefact.com/ https://www.artefact.com/careers/ Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? Experience Range: 5 - 8 Years Technical Skills: Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP), ML Modeling, Spark & Kafka. Attitude & Soft Skills: Proven problem-solving skills and a solution-oriented mindset. Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Where do you work? Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms. Academic Background: Successful candidates often possess Computer Science, Electronics, and Communication Engineering degrees. Artefact is the place to be: come and build the future of data and AI Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone. Action: We make things rather than telling people how to make them. Collaboration: We believe in bringing talented people together, winning together, and in learning from each other. Show more Show less
About us: Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying an exciting growth period across the organisation. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach, and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. About the role: We are looking for a motivated and detail-oriented Recruiter to join our HR team in India, supporting recruitment across the UK and India . You will be responsible for maintaining a strong and continuous talent pipeline across our key business and data positions. This includes managing the end-to-end recruitment process, even during low hiring periods, to ensure fast and efficient hiring during ramp-up phases. The role involves collaboration with internal stakeholders and candidates to provide a seamless recruitment experience. What you’ll do: ● Own and manage the end-to-end recruitment lifecycle for key technical roles (data scientist, engineer, analyst, consultant). ● Continuously build and maintain a pipeline of qualified candidates across the region, regardless of immediate hiring needs. ● Proactively source candidates using various channels (LinkedIn, job boards, referrals, etc.). ● Conduct screening calls and initial assessments to evaluate fit and interest. ● Schedule and coordinate interviews with hiring managers and team members across multiple time zones. ● Work closely with internal stakeholders to gather feedback, align on hiring needs, and support decision-making. ● Prepare and present job offers in coordination with HR and hiring managers. ● Act as a point of contact for the candidate throughout the process, ensuring a positive candidate experience. ● Collaborate with HR and admin teams to manage the onboarding process for new hires. ● Maintain and update recruitment trackers and reports to ensure visibility into hiring activity and pipeline health. About you: ● 4+ years of experience in agency recruitment or internal talent acquisition, preferably in a tech or consulting environment. ● Proven experience managing end-to-end recruitment processes. ● Strong understanding or interest in data/tech roles and associated skill sets. ● Familiarity with recruitment tools, ATS platforms (Greenhouse), and professional networking platforms like LinkedIn. ● Excellent organizational and communication skills. ● Ability to multitask, prioritize, and manage time effectively in a fast-paced, regional environment. ● Strong interpersonal skills with a collaborative and proactive approach.
Senior Data Consultant Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner... What will you be doing? Manage projects as well as lead our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or truly versatile players. In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism. You weild both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business What are we looking for? You must have previous Management Consultancy, ideally within Strategy Consulting or Data Consulting. Graduated from Business school or Engineering, in our eyes' the most important qualities are intellectual curiosity, autonomy, and dynamism. We are looking for profiles with the double hat “business” and “data”, with at least 1-2 years of experience, and in the use of BI tools or data analysis. You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,...). Artefact is the place to be: come and build the future of data and marketing! Innovation : We have a passion for creating impacting projects and believe innovation can come from anyone. Action: We make things rather than telling people how to make them. Collaboration : We believe in bringing talented people together, winning together, and in learning from each other.
About Company : Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact’s offers (and more): data marketing, data governance, strategy consulting, product owner… Job Title: Senior Data Analyst Role Summary: We are seeking a technically adept and detail-oriented Data Analyst to support our cloud-based data solutions. The successful candidate will be responsible for data ingestion, transformation, and analysis, ensuring data quality and providing ongoing support for our solutions across multiple markets. While not responsible for building machine learning models, the Data Analyst must understand the underlying logic and work closely with Data Scientists to enhance and improve model performance when necessary. This role also involves managing the maintenance of current solutions, ensuring stability and reliability, and acting as the primary point of contact for day-to- day support. Key Responsibilities: Data Management & Analysis Collect, consolidate, and ingest data from various sources into Google Cloud Storage (GCS). Monitor and maintain data pipelines, ensuring timely and accurate data processing through ETL workflows. Perform data validation, cleansing, and transformation to guarantee data integrity across datasets. Work collaboratively with Data Scientists to understand the logic behind machine learning models and support improvements when needed. Generate actionable insights and reports with strong excel and Powerpoint skills. Experience with visualization tools (e.g., Tableau, Looker, or Power BI) will be a plus. Project Management & Maintenance Manage the maintenance and ongoing support of solutions in existing markets. Ensure stability and reliability by promptly addressing issues in data pipelines, models, and dashboards. Act as the primary point of contact for markets, handling day-to-day support requests and ensuring high levels of service. Collaborate with the onshore team to align maintenance efforts with broader project goals and timelines. Provide regular updates to stakeholders on the status of maintenance activities, issues resolved, and upcoming improvements. Collaboration & Stakeholder Management Work closely with cross-functional teams, including Data Engineers, Data Scientists, and Business Analysts, to enhance data solution. Participate in regular reviews and discussions with stakeholders to ensure alignment on data requirements and deliverable Support documentation efforts by maintaining updated records of data processes, pipelines, and troubleshooting guide Qualifications: Bachelor’s degree in Computer Science, Data Analytics, Statistics, or a related field. 2-4 years of experience in data analysis, with hands-on experience in cloud-based solutions, preferably on Google Cloud Platform (GCP) Strong proficiency in SQL for data querying and transformation Experience with ETL tools and data pipeline orchestration in cloud environment. Familiarity with machine learning concepts and the ability to understand model logic and output Proficiency in at least one scripting language, such as Python or R, for data manipulation and analysis Experience with data visualization tools (Tableau, Looker, Power BI) and creating dashboards for stakeholder Preferred Skill Experience with DBT (Data Build Tool) or similar transformation tools. Knowledge of version control systems like Git. Strong project management skills, with experience managing support and maintenance tasks for existing solutions. Familiarity with Agile methodologies for project management and issue resolution. Why Join Us Work on high-impact data solutions that drive decision-making across market Collaborate with a global team of experts in data engineering, data science, and business analysis Enjoy a dynamic and collaborative work environment with opportunities for continuous learning Be part of a team that values innovation, quality, and proactive problem- solving Artefact is the place to be: come and build the future of data and AI Innovation : We have a passion for creating impacting projects and believe innovation can come from anyone. Action: We make things rather than telling people how to make them. Collaboratio n: We believe in bringing talented people together, winning together, and in learning from each other.
About us: Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying an exciting growth period across the organisation. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach, and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. About the role: We are looking for a motivated and detail-oriented Recruiter to join our HR team in India, supporting recruitment across the UK and India . You will be responsible for maintaining a strong and continuous talent pipeline across our key business and data positions. This includes managing the end-to-end recruitment process, even during low hiring periods, to ensure fast and efficient hiring during ramp-up phases. The role involves collaboration with internal stakeholders and candidates to provide a seamless recruitment experience. What you’ll do: ● Own and manage the end-to-end recruitment lifecycle for key technical roles (data scientist, engineer, analyst, consultant). ● Continuously build and maintain a pipeline of qualified candidates across the region, regardless of immediate hiring needs. ● Proactively source candidates using various channels (LinkedIn, job boards, referrals, etc.). ● Conduct screening calls and initial assessments to evaluate fit and interest. ● Schedule and coordinate interviews with hiring managers and team members across multiple time zones. ● Work closely with internal stakeholders to gather feedback, align on hiring needs, and support decision-making. ● Prepare and present job offers in coordination with HR and hiring managers. ● Act as a point of contact for the candidate throughout the process, ensuring a positive candidate experience. ● Collaborate with HR and admin teams to manage the onboarding process for new hires. ● Maintain and update recruitment trackers and reports to ensure visibility into hiring activity and pipeline health. About you: ● 4+ years of experience in agency recruitment or internal talent acquisition, preferably in a tech or consulting environment. ● Proven experience managing end-to-end recruitment processes. ● Strong understanding or interest in data/tech roles and associated skill sets. ● Familiarity with recruitment tools, ATS platforms (Greenhouse), and professional networking platforms like LinkedIn. ● Excellent organizational and communication skills. ● Ability to multitask, prioritize, and manage time effectively in a fast-paced, regional environment. ● Strong interpersonal skills with a collaborative and proactive approach.
Senior Data Consultant Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner... What will you be doing? Manage projects as well as lead our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or truly versatile players. In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism. You weild both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business What are we looking for? You must have previous Management Consultancy, ideally within Strategy Consulting or Data Consulting. Graduated from Business school or Engineering, in our eyes' the most important qualities are intellectual curiosity, autonomy, and dynamism. We are looking for profiles with the double hat “business” and “data”, with at least 1-2 years of experience, and in the use of BI tools or data analysis. You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,...). Artefact is the place to be: come and build the future of data and marketing! Innovation : We have a passion for creating impacting projects and believe innovation can come from anyone. Action: We make things rather than telling people how to make them. Collaboration : We believe in bringing talented people together, winning together, and in learning from each other.
Job Title: Data Architect Experience Level: 10+ Years Job Overview We are seeking a highly experienced and versatile Data Architect with over 10 years of experience. This role requires deep expertise in data architecture and data engineering, along with exceptional client management and team leadership skills. The ideal candidate will be both strategic and hands-on able to lead complex data initiatives, mentor teams, manage client relationships, and directly contribute to the design and implementation of scalable data solutions. Key Responsibilities Enterprise Data Strategy & Client Engagement: Develop and maintain a comprehensive data architecture strategy that aligns with organizational and client business objectives. Serve as a key technical advisor for clients, translating business requirements into innovative data solutions. Build and maintain strong client relationships by providing expert guidance and managing expectations throughout project lifecycles. Data Modeling, Design & Engineering: Design and optimize both logical and physical data models to support enterprise-wide systems. Architect data warehousing solutions, overseeing the integration of data from multiple sources to enable robust business intelligence and analytics. Directly develop, test, and implement ETL processes and data pipelines, ensuring data quality, consistency, and performance. Technology Evaluation & Implementation: Evaluate emerging data technologies and tools to determine their fit within the existing architecture and potential for future scalability. Oversee the integration of new technologies into the enterprise data architecture, balancing innovation with risk management. Team Leadership & Hands-On Management: Lead cross-functional teams, providing mentorship and technical guidance to junior data engineers and architects. Maintain a hands-on approach by actively participating in coding, design sessions, and troubleshooting complex data issues. Ensure project milestones are met through effective resource management and team coordination. Performance, Security & Best Practices: Optimize data storage, retrieval, and processing performance across various systems. Collaborate with security teams to enforce data governance, compliance, and privacy standards. Establish and promote best practices in data management, data engineering, and architecture design. Documentation & Reporting: Develop and maintain comprehensive documentation covering data architecture designs, data flows, integration processes, and project status. Provide regular updates and reports to both internal stakeholders and clients on project progress and system performance. Required Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field. Experience: 10+ years of experience in data architecture, data engineering, or related roles. Proven experience in designing and implementing enterprise-level data solutions with a hands-on technical approach. Demonstrated track record of managing client relationships and leading technical teams. Technical Skills: Expertise in data modeling, data warehousing, and database design (both relational and NoSQL). Strong proficiency in data engineering, including experience with ETL tools, data integration frameworks, and big data technologies. Hands-on experience with cloud data platforms (e.g., Azure, Google Cloud) and modern data processing frameworks. Familiarity with scripting and programming languages (e.g., Python, SQL,) to support hands-on development and troubleshooting. Experience with data governance frameworks & solutions ( Informatica, Collibra, Purview etc) Soft Skills: Exceptional client management and communication skills, with the ability to interact confidently with both technical and non-technical stakeholders. Proven team management and leadership abilities, including mentoring, coaching, and project management. Strong analytical and problem-solving skills with a proactive, detail-oriented approach. Ability to work collaboratively in a fast-paced, dynamic environment while driving multiple projects to successful completion. Certifications (Preferred): Relevant certifications such as Azure Solutions Architect, Certified Data Management Professional (CDMP), or similar credentials.
Data Lead, India office Location: Pune Employment Type: Full-time Artefact is a global data and AI consulting services company that helps organizations transform data into tangible business results. We're looking for an experienced and dynamic Data Lead to drive the full lifecycle of our data engineering solutions, from strategic design to hands-on implementation. In this key role, you will be a hands-on architect, building secure and scalable data platforms while mentoring our engineering teams. Responsibilities Design and develop robust, scalable, and secure data architectures that meet business requirements. Lead the implementation of data solutions on various cloud platforms (AWS, Azure, and GCP). Define and enforce data governance, quality, and security standards. Collaborate with data engineers, data scientists, and business stakeholders to understand needs and translate them into technical solutions. Evaluate new technologies and tools to improve our data infrastructure and practices. Create and maintain detailed documentation of data architecture, data flows, and processes. Provide technical leadership and mentorship to junior team members. Stay up-to-date with the latest trends and best practices in data architecture and cloud computing. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Overall 8-12 years of experience with 3+ years of experience in data architecture or a similar role. Proven expertise in designing and implementing data solutions on at least one major cloud platform (AWS, Azure, or GCP). Solid understanding of cloud-native data services such as: AWS: Redshift, S3, Glue, Athena, and EMR. Azure: Synapse Analytics, Data Lake, Data Factory, and Databricks. GCP: BigQuery, Cloud Storage, Dataflow, and Dataproc. Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing concepts. Strong knowledge of SQL, ETL/ELT processes, and data modeling techniques. Excellent problem-solving skills and the ability to work independently as well as part of a team. Strong communication and collaboration skills. Preferred Skills Experience with DevOps practices and tools (e.g., CI/CD pipelines, Terraform, Docker, Kubernetes). Knowledge of data governance tools and practices . Certification in one or more cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer).
Artefact is a global data and AI consulting services company that helps organizations transform data into tangible business results. We're looking for an experienced and dynamic Data Lead to drive the full lifecycle of our data engineering solutions, from strategic design to hands-on implementation. In this key role, you will be a hands-on architect, building secure and scalable data platforms while mentoring our engineering teams. Responsibilities ● Design and develop robust, scalable, and secure data architectures that meet business requirements. ● Lead the implementation of data solutions on various cloud platforms (AWS, Azure, and GCP). ● Define and enforce data governance, quality, and security standards. ● Collaborate with data engineers, data scientists, and business stakeholders to understand needs and translate them into technical solutions. ● Evaluate new technologies and tools to improve our data infrastructure and practices. ● Create and maintain detailed documentation of data architecture, data flows, and processes. ● Provide technical leadership and mentorship to junior team members. ● Stay up-to-date with the latest trends and best practices in data architecture and cloud computing. Qualifications ● Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. ● Overall 8-12 years of experience with 3+ years of experience in data architecture or a similar role. ● Proven expertise in designing and implementing data solutions on at least one major cloud platform (AWS, Azure, or GCP). ● Solid understanding of cloud-native data services such as: ○ AWS: Redshift, S3, Glue, Athena, and EMR. ○ Azure: Synapse Analytics, Data Lake, Data Factory, and Databricks. ○ GCP: BigQuery, Cloud Storage, Dataflow, and Dataproc. ● Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing concepts. ● Strong knowledge of SQL, ETL/ELT processes, and data modeling techniques. ● Excellent problem-solving skills and the ability to work independently as well as part of a team. ● Strong communication and collaboration skills. Preferred Skills ● Experience with DevOps practices and tools (e.g., CI/CD pipelines, Terraform, Docker, Kubernetes). ● Knowledge of data governance tools and practices . ● Certification in one or more cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer). Job Types: Full-time, Permanent Benefits: Cell phone reimbursement Health insurance Paid sick time Provident Fund Application Question(s): Do you have certification in one or more cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer). Please mention How many years of experience do you have as a Data Architect/Data Lead ? License/Certification: Azure Certification (Required) AWS Certification (Required) Work Location: In person