3 of 3 Data Analytics Engineer Jobs

Data Analytics Engineer

Hiring Organisation
Harnham
Location
London, England, United Kingdom
Data Analytics Engineer Salary: £83,000 Location: London (3 Days in Office) Shape the future of data-driven decision-making by transforming raw information into trusted, insight-ready assets. Join a team where analytics engineering fuels innovation, intelligence, and impact across the business. The Opportunity … This is an exciting opportunity to help shape the foundation of a modern, data-enabled organisation. You'll design and build scalable analytics models and pipelines that transform raw data into trusted insights, powering smarter decisions across every level of the business. Working at the intersection ...

Data Analytics Engineer

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
London, South East, England, United Kingdom
Employment Type
Full-Time
Salary
£70,000 - £83,000 per annum
Data Analytics Engineer Salary: £83,000 Location: London (3 Days in Office) Shape the future of data-driven decision-making by transforming raw information into trusted, insight-ready assets. Join a team where analytics engineering fuels innovation, intelligence, and impact across the business. The Opportunity … This is an exciting opportunity to help shape the foundation of a modern, data-enabled organisation. You'll design and build scalable analytics models and pipelines that transform raw data into trusted insights, powering smarter decisions across every level of the business. Working at the intersection ...

Senior Engineer Data, AI & Analytics (m/w/d) - Hybrid

Hiring Organisation
Purpose Green
Location
Charlottenburg, Berlin, Germany
Employment Type
Permanent
Salary
EUR 50,000 - 75,000 Annual
year Requirements: • Strong communication and stakeholder management in both English and German (written + spoken) - min. C1 • Production-level experience in Python for data and AI engineering (pipelines, APIs, orchestration) • Solid SQL and data modeling expertise (including incremental strategies) • Hands-on experience with a major cloud provider … Optimize agentic workflows, prompt & embedding pipelines, and retrieval quality through experimentation and tracing • Extend LLM capabilities with supervised fine-tuning (SFT) for in-domain data distributions where RAG alone underperforms Data Engineering • Build scalable ingestion and transformation pipelines for both proprietary and external data (using Lambda, Glue ...