BI Data Engineer (Azure/Power BI)

Harnham - Data and Analytics Recruitment
London, United Kingdom
Last month
£60,000 – £65,000 pa
Applications closed

Related Jobs

View all jobs
Spotlight

Senior Machine Learning Scientist

Chattermill London, United Kingdom
Remote
Spotlight

Business Development Manager – New Business Sales

SenseAI Liverpool, Merseyside, United Kingdom
Hybrid
Spotlight

Director of Technology - AI

Digital Catapult Bristol, County Of Bristol, United Kingdom
£110,000 – £130,000 pa Hybrid

Senior Fabric Engineer

Tenth Revolution Group Brentford, TW8 9DE, United Kingdom
£60,000 – £62,000 pa Hybrid

Lead Data Scientist

Artis Recruitment Bristol, Bristol (county), United Kingdom
£70,000 – £80,000 pa Hybrid

Lead Data Engineer

Sphere Digital Recruitment London, United Kingdom
£75,000 pa Hybrid

GA4 Data Engineer

Ocado Welwyn Hatfield, United Kingdom

Senior Data Engineer

HAYS Specialist Recruitment Abingdon, OX14 5BH, United Kingdom
£65,000 – £75,000 pa Hybrid

Data Engineer (GCP)

Method Resourcing Bath, United Kingdom
£55,000 – £60,000 pa Hybrid

Salary

£60,000 – £65,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
9 Jun 2026 (Last month)
BI Data EngineerThe Role

We are seeking an Analytics Engineer to join a growing data function and help shape a modern analytics platform. Working at the intersection of data engineering and analytics, you will build and optimise data pipelines, develop scalable data models, and transform raw data into trusted datasets that support reporting, business intelligence, and emerging AI initiatives. You'll collaborate with stakeholders across the business to improve data accessibility, quality, and governance while helping drive data-led decision-making.

Requirements
  • Proven experience in Analytics Engineering, Data Engineering, or Data Platform development.
  • Strong experience building and maintaining ELT/ETL pipelines.
  • Proficiency with SQL and Python, alongside modern data transformation and modelling practices.
  • Experience working with cloud-based data platforms, ideally Azure.
  • Understanding of data quality, governance, testing, and documentation best practices.
  • Ability to work with both technical and non-technical stakeholders to translate business requirements into data solutions.
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related STEM discipline.
What Will Make You Stand Out
  • Experience with Azure Data Factory, Databricks, Spark, or lakehouse architectures.
  • Exposure to Microsoft 365, Power Platform, or Microsoft Graph API.
  • Understanding of AI/ML workflows and the data requirements that support them.
  • Experience supporting large-scale data migrations or transformation programmes.
  • Background working within architecture, design, engineering, or other creative industries.
  • A passion for building scalable, well-governed data solutions that drive business impact.

If you are interested in the role please apply. To follow up please message me on LinkedIn or email me please.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.