Senior Data Engineer

As a Senior Data Engineer at Keyrus, you will be responsible for driving the design, development, and optimization of scalable cloud-based data solutions. Your role will go beyond traditional data engineering as you will own the end-to-end data lifecycle, including pipeline architecture, data validation, exploratory analysis, and insight presentation. It is essential to combine strong data engineering capabilities with the ability to collate, analyze, and interpret data to generate meaningful business value. A foundational understanding of data science concepts is expected, even if not at a fully advanced modeling level. **Responsibilities:** - Architect, build, and optimize cloud-native data pipelines and big data ecosystems on Azure. - Perform data ingestion, transformation, and enrichment to ensure high data quality and reliability for downstream use cases. - Conduct basic exploratory data analysis (EDA) and generate insight-ready datasets for business stakeholders and analytics teams. - Present data findings and performance insights clearly to both technical and non-technical stakeholders. - Embed all Non-Functional Requirements (security, performance, scalability, DR, compliance) in design and implementation. - Evaluate and prototype modern data technologies, leading POCs for innovation and continuous improvement. - Collaborate with Data Governance teams to ensure accurate metadata and lineage tracking. - Advocate for data mesh principles, reusable data products, and best practices across engineering and business teams. - Leverage DevSecOps and automation tools to streamline deployment and operational excellence. **Qualification Required:** - 10+ years of hands-on experience in data engineering in enterprise/cloud environments. - Proven experience building data pipelines on Azure (Azure Data Factory, Databricks, Synapse, or equivalent). - High proficiency in Python and analytical scripting (Pandas, data inspection, validation scripts). - Experience in performing data joins, validation, quality checks, and exploratory insights aggregation. - Strong understanding of data lake/data warehouse architectures and modern data platform patterns. - Ability to build Power BI dashboards (experience with Tableau or another BI tool is also acceptable). - Skilled in DevOps, CI/CD, and Agile methodology. - Ability to translate complex technical concepts into clear business-relevant insights. - Experience collaborating with multidisciplinary teams, including Data Scientists, Analysts, Governance, and Product stakeholders. Keyrus is a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience. Joining Keyrus means being part of a young and ever-learning enterprise with an established international network of thought-leading professionals. You will have the opportunity to work in a multicultural ecosystem and showcase your talents and potential while growing in a dynamic atmosphere. Keyrus UK Benefits: - Competitive holiday allowance - Very comprehensive Private Medical Plan - Flexible working patterns - Workplace Pension Scheme - Sodexo Lifestyle Benefits - Discretionary Bonus Scheme - Referral Bonus Scheme - Training & Development via KLX (Keyrus Learning Experience),