Tech jobs
Job listings
Analytics Engineer London
Analytics Engineer role in London working on the Modern Data Stack (dbt & BigQuery) to transform raw data into actionable insights, building data models and automating processes while bridging the gap between data and business stakeholders.
AI-Driven Cloud Data Engineer
Builds and maintains cloud-based data pipelines on Google Cloud, leveraging BigQuery, Airbyte, Prefect, and dbt to create scalable data solutions and AI-driven analytics for business teams in London.
Analytics Engineer
Builds and maintains data models (customer acquisition, retention, forecasting) in BigQuery using dbt to enable business decisions; collaborates with marketing, ops, and finance to define metrics, dashboards, and scalable analytics systems for a premium UK ecommerce brand.
Senior Data Engineer — Snowflake & dbt, Hybrid (Glasgow)
Designs and implements scalable Snowflake/dbt-based ELT pipelines while collaborating with data teams to build a cloud-agnostic data platform, emphasizing software engineering principles and performance.
Data Engineer
The Data Engineer will design, build, and optimize scalable ELT pipelines and data models using Snowflake, dbt, and Python. The role involves applying software engineering best practices to data development while collaborating with stakeholders to deliver impactful data products.
Lead Data Engineer – Cloud, Snowflake & Pipelines
Lead a team building scalable data pipelines and mentoring engineers using Python, SQL, and cloud platforms like Snowflake and dbt.
Lead Data Engineer
Lead a team to design, build, and deploy scalable data pipelines and platforms using Python, SQL, and cloud tools (AWS/Azure/GCP) for public and private sector clients.
Junior Data Engineer
Build and maintain scalable data pipelines and tools (Python, SQL, BigQuery, Dagster) to power Urban Jungle’s insurance products and analytics, collaborating with cross-functional teams.
Data Engineer – Snowflake
Build and maintain Snowflake data pipelines and models for a fintech payments company, using Streams, Tasks, and Dynamic Tables to create BI-ready datasets.
Junior Data Engineer — Scale Data Pipelines & Impact
Build and scale data pipelines using Python, Docker, dbt, BigQuery, and Dagster to support analytics and MLOps workflows for a fast-growing insurtech company.
CD&A Data Engineer
Build and maintain cloud data platforms on GCP, designing scalable pipelines with dbt, Airbyte, and Prefect while using AI-assisted tools to deliver reliable analytics and reporting for a global connectivity company.
Data Engineer
Build and own data pipelines that ingest, reconcile, and normalise fragmented police-force data into a unified, secure system for AI-powered policing.
Senior Data Platform Reliability Engineer (L3)
Senior Data Platform Reliability Engineer (L3) at Tata Consultancy Services ensures reliability, performance, and stability of the enterprise data platform, troubleshooting workflows and driving operational excellence across Databricks, Airflow, and DBT environments.
Data Engineer - L3 Support
L3 support engineer troubleshooting and optimizing Databricks, Airflow, and DBT workflows to maintain enterprise data platform reliability, performance, and stability.
Data Engineer
Builds cloud-based data platforms and pipelines to enable business insights, designing architectures and integrating data from multiple sources (including streaming) for clients across industries. Uses modern tools like Snowflake, Databricks, and Azure Data Factory to deliver iterative, value-driven solutions.
Manager Data Engineer (m/w/d)
Leads the design, development, and optimization of a scalable data warehouse and ETL/ELT pipelines, ensuring robust data infrastructure for business needs. Focuses on data modeling, tool selection, and integrating AI-driven automation while mentoring the team.
Data Engineer — Analytics Platform (Remote/Hybrid)
Designs and maintains a cloud-based data platform using Azure Databricks, dbt, and Power BI to transform legacy Data Vault architecture into a modern dimensional model, enabling internal and customer-facing analytics with AI/ML integration.