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About Sleek Through proprietary software and AI, along with a focus on customer delight, Sleek makes the back-office easy for micro SMEs. We give Entrepreneurs time back to focus on what they love doing growing their business and being with customers. With a surging number of Entrepreneurs globally, we are innovating in a highly lucrative space. We Operate 3 Business Segments Corporate Secretary : Automating the company incorporation, secretarial, filing, Nominee Director, mailroom and immigration processes via custom online robots and SleekSign. We are the market leaders in Singapore with : 5% market share of all new business incorporations. Accounting & Bookkeeping : Redefining what it means to do Accounting, Bookkeeping, Tax and Payroll thanks to our proprietary SleekBooks ledger, AI tools and exceptional customer service. FinTech payments : Overcoming a key challenge for Entrepreneurs by offering digital banking services to new businesses. Sleek launched in 2017 and now has around 15,000 customers across our offices in Singapore, Hong Kong, Australia and the UK. We have around 450 staff with an intact startup mindset. We have achieved >70% compound annual growth in Revenue over the last 5 years and as a result have been recognised by The Financial Times, The Straits Times, Forbes and LinkedIn as one of the fastest growing companies in Asia. Role Backed by world-class investors, we are on track to be one of the few cash flow positive, tech-enabled unicorns based out of The Role : We are looking for an experienced Senior Data Engineer to join our growing team. As a key member of our data team, you will design, build, and maintain scalable data pipelines and infrastructure to enable data-driven decision-making across the organization. This role is ideal for a proactive, detail-oriented individual passionate about optimizing and leveraging data for impactful business : Work closely with cross-functional teams to translate our business vision into impactful data solutions. Drive the alignment of data architecture requirements with strategic goals, ensuring each solution not only meets analytical needs but also advances our core objectives. 3, Be pivotal in bridging the gap between business insights and technical execution by tackling complex challenges in data integration, modeling, and security, and by setting the stage for exceptional data performance and insights. Shape the data roadmap, influence design decisions, and empower our team to deliver innovative, scalable, high-quality data solutions every : Achieve and maintain a data accuracy rate of at least 99% for all business-critical dashboards by start of day (accounting for corrections and job failures), with a 24-business hour detection of error and 5-day correction SLA. 95% of data on dashboards originates from technical data pipelines to mitigate data drift. Set up strategic dashboards based on Business Needs which are robust, scalable, easy and quick to operate and maintain. Reduce costs of data warehousing and pipelines by 30%, then maintaining costs as data needs grow. Achieve 50 eNPS on data services (e.g. dashboards) from key business : Data Pipeline Development : Design, implement, and optimize robust, scalable ETL/ELT pipelines to process large volumes of structured and unstructured data. Data Modeling : Develop and maintain conceptual, logical, and physical data models to support analytics and reporting requirements. Infrastructure Management : Architect, deploy, and maintain cloud-based data platforms (e.g. , AWS, GCP). Collaboration : Work closely with data analysts, business owners, and stakeholders to understand data requirements and deliver reliable solutions, including designing and implementing robust, efficient and scalable data visualization on Tableau or LookerStudio. Data Governance : Ensure data quality, consistency, and security through robust validation and monitoring frameworks. Performance Optimization : Monitor, troubleshoot, and optimize the performance of data systems and pipelines. Innovation : Stay up to date with the latest industry trends and emerging technologies to continuously improve data engineering & Qualifications : Experience : 5+ years in data engineering, software engineering, or a related field. Technical Proficiency Proficiency in working with relational databases (e.g. , PostgreSQL, MySQL) and NoSQL databases (e.g. , MongoDB, Cassandra). Familiarity with big data frameworks like Hadoop, Hive, Spark, Airflow, BigQuery, etc. Strong expertise in programming languages such as Python, NodeJS, SQL etc. Cloud Platforms : Advanced knowledge of cloud platforms (AWS, or GCP) and their associated data services. Data Warehousing : Expertise in modern data warehouses like BigQuery, Snowflake or Redshift, etc. Tools & Frameworks : Expertise in version control systems (e.g. , Git), CI/CD, JIRA pipelines. Big Data Ecosystems / BI : BigQuery, Tableau, LookerStudio. Industry Domain Knowledge : Google Analytics (GA), Hubspot, Accounting/Compliance etc. Soft Skills : Excellent problem-solving abilities, attention to detail, and strong communication Qualifications : Degree in Computer Science, Engineering, or a related field. Experience with real-time data streaming technologies (e.g. , Kafka, Kinesis). Familiarity with machine learning pipelines and tools. Knowledge of data security best practices and regulatory The Interview Process : The successful candidate will participate in the below interview stages (note that the order might be different to what you read below). We anticipate the process to last no more than 3 weeks from start to finish. Whether the interviews are held over video call or in person will depend on your location and the role. Case study. A : 60 minute chat with the Data Analyst, where they will give you some real-life challenges that this role faces, and will ask for your approach to solving them. Career deep dive. A : 60 minute chat with the Hiring Manager (COO). They'll discuss your last 1-2 roles to understand your experience in more detail. Behavioural fit assessment. A : 60 minute chat with our Head of HR or Head of Hiring, where they will dive into some of your recent work situations to understand how you think and work. Offer + reference interviews. We'll Make a Non-binding Offer Verbally Or Over Email, Followed By a Couple Of Short Phone Or Video Calls With References That You Provide To For Background Screening Please be aware that Sleek is a regulated entity and as such is required to perform different levels of background checks on staff depending on their role. This may include using external vendors to verify the below : Your education. Any criminal history. Any political exposure. Any bankruptcy or adverse credit history. We will ask for your consent before conducting these checks. Depending on your role at Sleek, an adverse result on one of these checks may prohibit you from passing probation. (ref:hirist.tech) Show more Show less
