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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.
Lead Data Engineer who designs and delivers scalable cloud data platforms (lakehouse/warehouse) and ETL/ELT pipelines, owning data modelling, governance, SLAs and standards while mentoring a team. Core tech: SQL, Python/Scala, AWS/Azure/GCP, Snowflake/BigQuery/Databricks, Airflow, Terraform, Docker.
Lead Data Engineer at Mott MacDonald Bentley (JN Bentley) who designs and builds the company's central cloud data platform on Microsoft Fabric/Azure — warehousing, pipelines, data modelling and governance — while technically leading and line-managing the data team from a hybrid Leeds base.
Lead the end-to-end data engineering and analytics platform for SwapClear and Listed Rates at LSEG, driving migration from legacy Oracle/Informatica systems to a cloud-native Snowflake architecture. Combines hands-on work with SQL, Python, and dbt/ELT with leadership of governance, availability, and multi-year delivery.
Lead Data Engineer for an early-stage, AI-first product in London: you own the data architecture end to end, building batch and real-time pipelines, vector search and ML infrastructure from the ground up. Core stack includes Python, relational and NoSQL databases, Spark, Airflow, Kafka, and Elasticsearch/OpenSearch.
Lead Data Engineer owning the data platform of a London consumer-lending fintech: building a new data warehouse and data environment, developing and monitoring credit models, and leading a growing data function using SQL, Python and R.
Lead Data Engineer who owns and scales TodayTix Group's data platform end-to-end — architecting the Snowflake warehouse and dbt project with CI/CD, enforcing data quality, onboarding new data sources, and leading and growing the engineering team while driving AI adoption.
A senior hands-on role owning the Databricks-based data platform for the Retail Insight Data and Engineering team: designing scalable lakehouse architecture (Spark, Delta Lake) on cloud (ideally Azure), setting governance and data-quality standards, enabling ML/AI, and mentoring a small team of data engineers.
Leads cloud data transformation projects for clients, designing data lakes/warehouses and building ETL pipelines on Google Cloud Platform using Spark, Kafka, and IaC/CI-CD practices. A hands-on lead role in a Google Premier Partner consultancy, hybrid from a London office, with mentoring responsibilities.
Catchfish is hiring a Lead Data Engineer in Fleet, Hampshire to drive data architecture and insights for the business. The role is hands-on with Python and SQL, using NLP/ML to extract value from data, building PowerBI or Python insights, and developing APIs, with cloud experience a plus.
Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life…
Onyx-Conseil is hiring an AWS Data Platform Engineer in La Défense (Puteaux) to act as technical lead for its Data & AI platform on AWS — ensuring service availability and performance, evolving the architecture, and coaching Data Engineering, Data Science and BI teams on AWS best practices and SageMaker Unified Studio.
A senior data engineer at Salestube in Warsaw (hybrid) who mentors the team, defines data architecture on Google Cloud, converts ETL pipelines into ELT, and implements security and data-quality monitoring while reviewing code to raise engineering standards for clients of a martech/ecommerce agency.
A Lead Data Engineer/Data Architect designs data pipeline architecture on Snowflake and Databricks (with Azure), covering complex pipeline design, ETL/ELT orchestration, and data lineage, while leading a team. Requires 5+ years in Data/Cloud, including 2-3 years with Snowflake.
Senior Data Engineer designing, building, and maintaining scalable data pipelines, migrations, and integrations on a modern cloud data platform for a global pharmaceutical project. Core stack: Python, Pandas, and AWS services, working in agile teams.
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