Data Engineering Manager...

Peaple Talent
London, England
12 months ago
Applications closed

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Job Description Data Engineering Manager - Fabric 🧵 |
London Peaple Talent have partnered with a specialist data
consultancy delivering services across data engineering, data
strategy, data migration, BI & analytics. As a trusted
Microsoft Partner, my client are leaders in the industry, with a
diverse portfolio of clients and projects. Due to exciting growth
plans we are now looking for a Data Engineering Manager to join the
growing Engineering Practice. The Engineering Practice provides
comprehensive data platforms and engineering pipelines leveraging
Microsoft Fabric, Azure Synapse Analytics, and Azure Databricks.
Lead and support delivery teams by ensuring exceptional outcomes
for a range of industry leading clients. This role offers a dynamic
opportunity for an experienced Data Engineer who enjoys strategic
engagement while remaining hands-on across all areas of Data
Engineering. We are looking for: - Demonstratable data engineering
skills, with a focus on having delivered in Microsoft Azure -
Strong experience designing and delivering data solutions in
Fabric, Azure Databricks or Azure Synapse - Proficient with SQL and
Python - Great communication skills, effectively participating with
Senior Stakeholders - A record of managing and leading small teams

  • Must have some consulting experience Nice to haves: - Azure Data
    Engineering certifications What's in it for you: ��Location: London
    or Manchester or Edinburgh 💻Remote working: Occasional office
    visits each month 💰Salary: Available upon request 🤝Collaborative
    culture and great team support 📈Vast L&D opportunities both
    internally and externally

Industry Insights

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Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.