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Senior/Lead Data Engineer at Radius Payment Solutions (a payments company) to design and deliver scalable data pipelines and architectures, guide technical direction, and mentor junior engineers, with an emphasis on AI/ML readiness and robust data governance. Based full-time at the Radius Campus HQ in Crewe.
Lead Data Engineer at Evidi in Aarhus, Denmark, designing and evolving data pipelines and backend data platforms on Microsoft Fabric. The role blends hands-on data engineering and architecture with technical leadership in cross-functional teams and customer-facing delivery, working mainly in Denmark with Nordic projects and Microsoft partner collaboration.
Evidi, a Nordic Microsoft partner consultancy, is hiring a Senior/Lead Data Engineer in Denmark to design, build and maintain data pipelines and backend data platforms on Microsoft Fabric (Lakehouse, Data Factory, OneLake) for Nordic clients, advising on architecture and, at Lead level, providing technical leadership and coaching. Core stack: Fabric, Python/PySpark, optionally Databricks.
Data Engineer building and maintaining ETL/ELT pipelines on Microsoft Azure (Data Factory, Databricks, Azure SQL), optimizing SQL performance, and implementing CI/CD with Azure DevOps. Works with data modelers, Group Office tech teams, and local IT teams in an Agile environment.
A senior/lead data engineer who designs enterprise data architecture and hands-on builds pipelines on Microsoft Fabric — migrating Teradata/on-prem SQL estates, modernising platforms, and delivering greenfield Fabric implementations, plus Power BI semantic models and CI/CD — for a digital transformation consultancy's clients.
Lead the design and implementation of a data governance program from scratch to support AI-driven financial analytics. You will establish data quality frameworks, ownership, and dictionaries using tools like BigQuery, dbt, and Unity Catalog while ensuring compliance with regulatory standards like GDPR and CCPA.
Lead and mentor a data engineering team at a UK organisation undergoing data transformation, driving the growth of a Databricks Lakehouse platform. The role blends technical leadership with hands-on work building scalable pipelines using Databricks, SQL and Python, in partnership with Architecture, BI and Data Science teams.
Lead data engineer in a technology consulting practice, driving complex data engineering delivery for client projects — building data platforms and pipelines on AWS (Spark, Python/SQL, SageMaker, EMR/Databricks/Snowflake) including AI/ML and Generative AI workloads, while managing and mentoring teams and advising senior stakeholders.
Lead Citi's Enterprise Data team in Belfast, driving the migration to Databricks and building scalable Spark/Scala data services on AWS, including AI/GenAI-enabled platforms. Day to day you design and deliver cloud data architecture, mentor developers, and manage senior stakeholders and compliance.
A senior, hands-on data engineering lead who owns and evolves the pipelines, transformations, and curated datasets behind enterprise reporting and analytics, working with analytics and platform teams. Core stack includes SQL, Python/PySpark, cloud warehouse/lakehouse platforms, orchestration, data quality tooling, and CI/CD.
Technically leads HSBC's Wholesale Data & Analytics team in Sheffield: capturing requirements from business stakeholders, mentoring engineers, and owning end-to-end delivery of data warehouse and big data solutions using Spark, Hadoop, Scala, and Python with CI/CD tooling like Git, Jenkins, and Ansible.
Lead and mentor a team of data engineers and scientists building scalable data architectures and automation pipelines for a banking-focused business. Day to day involves architecting data platforms and BI/analytics solutions using Azure services such as Data Lake, Data Factory, PySpark, Synapse, and Power BI.
Lead a systems engineering team in London building a proprietary data platform that supports a fibre product lifecycle, shaping architecture and strategy with senior leadership. The stack includes JavaScript, React, TypeScript, Python, Go, Neo4j, GraphQL, AWS and Kubernetes.
Lead a small data engineering team designing and running scalable cloud data infrastructure on GCP. Build pipelines with Python, Snowflake, and Databricks, drive CI/CD practices, and develop data models that inform pricing, market analysis, and investment decisions at a sustainability-focused organization.
A hands-on Senior/Lead Data Engineer at asset manager Balyasny in London, architecting cloud-first data pipelines, models, and platform services (Python, SQL, Snowflake, AWS, Airflow) that support analytics and investment decisions, while mentoring engineers and owning data quality and technical standards.
A hands-on leadership role building and maintaining a cloud-based Delta Lakehouse data platform: the engineer delivers features, resolves data issues, monitors pipelines in an agile (SCRUM/Kanban) team, and leads architectural decisions while mentoring junior engineers. Core tech includes Delta Lake, PySpark, Spark SQL, Git, and Azure DevOps.
Lead Data Engineer at Radius Payment Solutions (Crewe, UK) who owns the design and delivery of scalable cloud data platforms and pipelines, mentors a growing team of engineers, and drives an AI/ML-ready data architecture. Core work spans ETL/ELT, data modeling, governance, and turning business needs into data solutions.
Lead technical data delivery at Hippo Digital in Birmingham, acting as the data SME within multi-disciplinary teams building secure, scalable data platforms for public- and private-sector clients. Day to day: designing pipelines with Python, SQL, Snowflake, dbt and cloud (AWS/Azure/GCP), mentoring engineers, managing stakeholders, and contributing to technical bids.
Lead Data Engineer at HMRC (UK Government) in Manchester, shaping and operating national-scale data platforms for analytics, reporting, and data science. Day to day: technical leadership across delivery teams, improving ETL/ELT pipelines and governance in a DevOps context, using AWS and Azure data services like Glue, Dataflow, and Databricks.
A senior hands-on Lead Data Engineer role in London, anchoring end-to-end delivery of enterprise-scale data pipelines, platforms and services across legacy and cloud environments. Core stack is Python and Apache Spark, with strong emphasis on data quality, governance, lineage and technical leadership.
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