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Salary: £65,000 - 105,000 per year Requirements: We require multiple full-cycle Microsoft Dynamics 365 Business Central implementations delivered end to end, led from the finance side, including at least one greenfield…
The Senior Data Engineer will build and manage data pipelines using Azure cloud technologies, SQL Server, and Azure Data Factory. The role focuses on data modelling, quality, and governance while working with large, complex datasets.
Salary: £55,000 - 80,000 per year Requirements: Proven experience delivering data and analytics solutions within an IT environment. Strong Microsoft Azure experience, particularly Azure Data Factory, Databricks, and…
Build and operate an Azure data platform (Databricks, ADF, ADLS) for an energy-sector programme, implementing data governance, IaC, and CI/CD pipelines as a 3-month contractor.
Salary: £60,000 - 65,000 per year Requirements: We require a minimum of a BSc/BA in Computer Science or a related field, plus other professional management training. We require extensive (5+ years) experience in at…
Salary: £55,000 - 85,000 per year Requirements: Proven experience in a Lead Developer, Technical Lead or Principal Developer role Strong Python development experience Expert-level PostgreSQL knowledge Azure Data…
Senior architect leads end-to-end delivery of complex AI and data projects for enterprise clients, designing scalable, AI-native solutions using Azure, Databricks, and modern data platforms.
Senior Data Engineer building scalable Azure/Databricks data solutions, pipelines, and analytics products for Fortune 500 pharma and FMCG clients.
Cloud Data Engineer (Microsoft Fabric OR Azure Data Factory) | Full-Time Location: 100% Onsite In Dallas, TX Type: Full-Time Direct Hire (Permanent Opportunity) Interview Process: 2 Rounds (1 virtual, 2nd onsite)…
Designs, builds, and supports Microsoft Fabric and Azure-based data and analytics solutions for clients, translating business needs into scalable, secure, and maintainable systems while mentoring teams and ensuring high engineering standards.
The Data Architect designs and builds end-to-end data solutions, including data lakehouses and ETL pipelines, while bridging the gap between client business requirements and technical implementation. The role involves a mix of strategic architecture and hands-on development using technologies like Azure, AWS, Python, and SQL.
Senior Test Engineer validates ETL/data pipelines in financial services, ensuring accurate data flow from source systems to warehouses and reports using SQL, ETL tools, and test frameworks.
Senior Data Analyst/Engineer for an automotive client, designing dashboards and KPIs for manufacturing/quality/R&D teams while building and maintaining ETL/ELT pipelines using SQL, Python, Power BI, Databricks, and Azure data services.
Build data pipelines and expert Power BI dashboards for banking, insurance, industry, and public sector clients in Suisse Romande, using SQL, dbt, Microsoft Fabric, Databricks, Snowflake, and Azure.
Builds analytical solutions and data pipelines to transform business needs into actionable insights, focusing on data quality, KPIs, and ML models using Databricks, PySpark, and SQL.
Design, build, and maintain scalable Azure data platform solutions (ADLS, Databricks, ADF, Terraform) within NN Bank's Data Factory Platform team in Madrid, supporting risk, finance, and ML workloads.
Designs and maintains scalable data pipelines on Azure, automating ingestion, cleansing, and transformation while ensuring data quality and security for an international project.
Senior Data Engineer owning the design and operation of a Databricks/Delta Lake data platform (Medallion architecture) orchestrated via Azure Data Factory, feeding dynamic pricing models and BI in a high-volume retail context.
Designs and builds cloud-native data pipelines in Microsoft Azure (Fabric, Data Factory, Synapse) to enable scalable analytics and data-driven decisions, focusing on ingestion, modeling, storage, and orchestration.
Builds and maintains data pipelines, databases, and reporting systems across on-premises and cloud environments, focusing on SQL Server/Oracle, Snowflake migration, and modernizing legacy data models with Azure tools.
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