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Contract Senior Data Engineer leading the evolution of a Snowflake-based Data Lakehouse platform for an FCA-regulated financial services firm, covering data architecture, dbt pipelines, and Power BI reporting.
Build and maintain data pipelines and a self-serve data platform for Boots UK, using SQL, Python, Azure, Databricks, and Spark to support business decisions across domains like Pharmacy and Supply Chain.
As the first dedicated data engineer, you will architect and own the full data stack, including ingestion, transformation, and warehouse infrastructure for a real-money gaming platform. You will work with Python, SQL, dbt, and orchestration tools to build reliable pipelines that support quantitative strategy and production systems.
This Senior Data Engineer role involves leading a migration from AWS to Databricks while maintaining existing AWS workflows. The position requires hands-on expertise in Python, SQL, and cloud-native engineering to design and implement scalable data solutions.
The Senior Data Engineer will design, build, and maintain scalable enterprise data pipelines and cloud-based data platforms using PySpark, Python, SQL, and Azure Data Factory. This role involves integrating complex business systems and partnering with data scientists to operationalize machine learning models and AI initiatives.
About The Senior Data Engineer is responsible for the design, construction, and operation of the company’s enterprise data warehouse, consolidating data from multiple ERP platforms and supporting business systems…
The Senior Analytics Engineer at Nedbank leads complex data initiatives, designs scalable data architectures, and builds robust pipelines to support enterprise-wide analytical insights. The role involves mentoring junior staff, ensuring data governance compliance, and translating business requirements into high-value data solutions.
Build and scale the central data platform at itsme, designing batch and streaming pipelines with Python, PySpark, SQL, and cloud tools like Databricks/Snowflake, migrating from Azure Synapse while supporting fraud detection and reporting.
Build and maintain trusted, well-modeled datasets in BigQuery using dbt to power analytics and ML across a fintech platform, ensuring data correctness and collaborating with engineers and stakeholders.
Build and scale robust ETL/ELT pipelines and cloud data warehouses to process petabytes of user activity for a global social discovery platform.
The Senior Data Engineer will build and scale reliable ETL/ELT pipelines and design cloud-based data warehouse architectures. The role involves ensuring data quality and collaborating with cross-functional teams to transform raw data into actionable insights using tools like Python, SQL, BigQuery, and Airflow.
Data Engineer building scalable batch and streaming pipelines, data products, and AI-facing integration layers (e.g., MCP servers) for an internal Agentic AI ecosystem using Python, SQL, dbt, orchestration tools, and cloud data platforms.
Leads end-to-end design, development, and maintenance of large-scale Microsoft BI solutions (SQL Server, SSIS, Power BI, SSAS) in fintech, focusing on data warehousing, ETL pipelines, and analytical modeling for enterprise reporting and dashboards.
Data Engineer at Arden University (Coventry, UK, remote) in the Analysis Insights and Performance department, reporting to the Principal Data Engineer.
Design and govern enterprise data architecture, building ETL/ELT pipelines and integrating data from enterprise systems into Teradata to enable scalable analytics and reporting. Core tech: Teradata, SQL Server, Python, Power BI.
The Data Engineer II will build and maintain scalable data pipelines and models within the Financial Systems team to support Booking.com's regulated payments and e-money services. The role involves working across the SAP, AWS, and Snowflake stack to ensure data quality, traceability, and accessibility for financial reporting and decision-making.
You’ll work alongside colleagues in the Insights team and partner closely with the Data & Technology function, while acting as the team’s primary Power BI specialist. We are building a new data platform on…
Data Engineer owning the full lifecycle of real-time pricing ML data pipelines, collaborating with Data Scientists and cross-functional teams using Python, SQL, Databricks, dbt, Airflow, and AWS.
Designs and builds data pipelines, ETL workflows, and warehouses using SQL, SSIS, and SQL Server to feed BI and analytics systems.
Build and maintain the backend of a BI platform, designing scalable data models, ETL/ELT pipelines, and integrating data from ERP and external sources to enable reporting and analytics.
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