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Data Engineer
Design and build scalable data pipelines and Lakehouse/Data Warehouse solutions using Microsoft Fabric, Azure Synapse, and Databricks to enable analytics and AI workloads.
Senior Data Engineer
Senior Data Engineer builds and maintains enterprise-scale data pipelines, warehouses, and lakes for a government digital transformation program, using SQL, Python, and cloud/on-prem platforms.
Data Analytics Engineer - Expert Azure & Microsoft Fabric- H/F
Design and deploy end-to-end data analytics solutions using Azure and Microsoft Fabric, building modern data platforms, ETL pipelines, and Power BI reports for enterprise clients.
Senior Data Analytics Engineer - Microsoft Fabric- H/F (CDI)
Design and deploy end-to-end data analytics solutions using Azure and Microsoft Fabric, including ETL pipelines, data lakes, warehouses, and Power BI reports for clients in finance, healthcare, mobility, and climate sectors.
Health Data Platform Engineer
Builds and maintains a secure health-data warehouse, designing schemas and pipelines to ensure reliable, traceable data for research and patient care.
Data Engineer / Data Model H/F
Design and build a health-data warehouse that unifies patient records and other sources, standardize them to OMOP, and ensure end-to-end data quality and governance for research and care improvement.
Solution Architect/Lead Software Engineer (AI & Data Applications)
Designs AI-driven web apps by integrating LLMs, vector search, and real-time data; leads cloud-native architecture and full-stack development (Python + React) for production-ready solutions.
Data Engineer
Build and maintain data pipelines in Snowflake and AWS, transforming raw insurance data into clean, analytics-ready tables with dbt for downstream AI/ML and BI use.
AI Data Scientist - Autonomous Network
Build AI models for telecom networks: analyse telemetry, alarms, and topology to predict faults, optimize performance, and enable self-healing operations using Python, ML, and graph analytics.
Data Architect
Designs and governs enterprise-scale data architectures, including data lakes, warehouses, ETL/ELT, and AI integration, for a government client in Telford.
Technical Account Executive (SF/U.S. West Coast)
About PostHog Product development used to mean manually writing code, running analysis, diagnosing bugs, and rolling out changes using dozens of tools. PostHog is the only platform that acts like a co-pilot for you…
Abinitio Data Engineer
Builds and maintains data pipelines using Ab Initio, Spark, PySpark, and Databricks for ETL and warehouse/lake implementations.
Data Engineer
Build and maintain secure data pipelines and warehouses in Azure to power analytics and reporting for New Zealand’s aviation regulator.
Technical Product Owner/Business Analyst
Owns data-centric product requirements for a healthcare tech platform, turning business needs into SQL-backed specs, acceptance criteria, and delivery plans while collaborating with engineering, QA, and stakeholders.
Data Engineer / Data Mart Website Developer
Builds ETL/ELT pipelines, optimizes SQL databases, and develops data-mart web apps using C#, .NET Core/MVC, React, and Azure services.
Data Engineer, Marketing Analytics Warehouse
Designs and maintains a marketing data warehouse and pipelines to feed digital customer experience and integrated marketing initiatives.
Staff Data Engineer
Build and maintain Verkada’s enterprise data warehouse, automated pipelines, and analytics models to power company-wide reporting and AI-driven insights using Python, SQL, and cloud platforms like BigQuery or Snowflake.
Data Engineer L3: Azure Databricks & Data Pipelines
Designs and builds Azure Databricks-based data pipelines and storage solutions using SQL, Python, and PySpark to optimize data flows and warehouse performance.
Data Engineer (Python/SQL)
Build and maintain scalable data pipelines and warehouses using Python, SQL, Spark, and cloud tools to ensure clean, accessible data for analytics and AI services.
Data Architect / Data warehouse / ETL (809182) // REMOTE
Designs and maintains scalable data architectures, ETL pipelines, and cloud data warehouses (e.g., Snowflake) to ensure reliable data integration and accessibility for business insights.