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Senior Data Platform Engineering Manager
Leads data pipeline teams for BI, analytics, fraud detection, and reporting; defines technical strategy, mentors engineers, and ensures platform reliability and cost optimization.
Senior Analytics Engineer: Scale Data Platforms
Senior Analytics Engineer designing and scaling analytics platforms using dbt for data modeling, SQL-heavy workloads on Snowflake/Redshift, and BI tools like Domo/Tableau/Power BI in a modern cloud stack.
Market Risk Analytics Engineer
Build scalable market risk analytics workflows, ETL processes, and regulatory reporting solutions using Python, SQL, and BI tools at Goldman Sachs in Birmingham.
Analytics Engineer: Build Self-Serve Data on Databricks
The Analytics Engineer will build and maintain scalable data models using dbt and Databricks to support self-serve analytics and data-driven decision-making at Immediate Media Co.
Analytics Engineer: Build Data Foundations & AI Impact
The Analytics Engineer will build and maintain dbt models to establish robust data foundations, collaborating with data teams to drive insights and improve data governance. The role involves advising on data platform infrastructure and tooling to support high-growth business areas.
Data & Analytics Engineer — AI & Dashboards
The Data & Analytics Engineer will manage data lifecycle processes, build ETL pipelines, design scalable databases, and create dashboards for self-service insights. The role involves collaborating on AI applications and maintaining data quality and security standards within the IT department.
Senior Cyber Analytics Engineer — Hybrid Data Platform
The Senior Analytics Engineer will design data products, build scalable pipelines, and develop security dashboards to support reporting and machine learning. The role involves mentoring team members and driving engineering excellence in data transformation and AI governance.
Remote GCP Conversational Analytics Engineer
Designs scalable conversational AI systems on GCP, using BigQuery, ML, and agentic AI to solve business problems and build production-ready solutions while guiding clients and engineers.
Senior Data Analyst - Analytics Engineer
Senior Data Analyst/Analytics Engineer building dashboards, data models, and automated reporting with Power BI and SQL for a media & entertainment company in London (hybrid, 3 days in office).
Senior Analytics Engineer — Remote, High-Impact Data
The Senior Analytics Engineer will develop analytics layers and maintain complex data models within the data warehouse to support scalable data products. The role involves using SQL, dbt, and cloud services to collaborate with cross-functional teams in a remote-enabled environment.
Lead Analytics Engineer: Shape Data with a Modern Stack
The Lead Analytics Engineer will own end-to-end analytics engineering solutions, focusing on data modelling, governance, and consumption. This role emphasizes technical leadership and cross-functional collaboration with product, marketing, finance, and data science teams.
Analytics Engineer (Hybrid) — AI-Powered Data & Fabric
The Analytics Engineer will develop and maintain scalable data solutions using the Microsoft Fabric platform to provide actionable business insights. The role involves leveraging AI-enabled development tools to enhance data productivity and ecosystem impact.
Senior Analytics Engineer — Hybrid | dbt/BigQuery
The Senior Analytics Engineer will build and maintain a scalable analytics layer using dbt and BigQuery. The role involves collaborating with cross-functional teams to develop data models, ensure data quality, and create datasets for experimentation.
Senior Analytics Engineer (6 month FTC)
The Senior Analytics Engineer will own and improve data models for lending decisions and investor reporting using a modern stack including SQL, Snowflake, and dbt. This role acts as a bridge between technical and non-technical teams to scale data infrastructure and mentor analysts.
Senior Cloud Analytics Engineer
The Senior Analytics Engineer will manage and scale a cloud-based data platform using Azure technologies, including ADF, SQL Server, Fabric, and Synapse. The role involves building data pipelines, optimizing workflows, and collaborating with BI teams to deliver enterprise reporting.
Market Risk Analytics Engineer
The Market Risk Analytics Engineer will develop and deliver risk and capital metrics for market, credit, and regulatory domains using Python and SQL. This role supports senior leadership and regulators by providing data-driven risk insights within the Risk Engineering team.
Market Risk Analytics Engineer
The Market Risk Analytics Engineer will build data workflows and develop business intelligence solutions to provide risk metrics and insights. The role utilizes Python, SQL, and BI tools like Tableau or PowerBI to support risk decision-making processes.