Lead Data Engineer

Areti Group | B Corp

Reading, England

11 months ago

Applications closed

Related Jobs

View all jobs

Data Engineering Lead

Corecom Consulting York, YO1 8RS, United Kingdom

Data Platform Manager

Deerfoot Recruitment Solutions Luton, Bedfordshire, United Kingdom

£70,000 pa Hybrid

Data Engineer

Damia Group London, United Kingdom

Data Delivery Lead

VIQU IT Clerkenwell, London, EC1R 0EA, United Kingdom

£90,000 – £100,000 pa Hybrid

Data Lead | Energy |to| Bonus

Opus Recruitment Solutions Chiswick, London, W4 5PS, United Kingdom

£95,000 – £110,000 pa Permanent

Senior Data Scientist

Adria Solutions Manchester, United Kingdom

Posted: 5 Jun 2025 (11 months ago)

Save job

Create job alert

Applications closed

Join a Leading Growth business on its transformative journey to become the UK's most recommended businesses in their industry

Lead Data Engineer

Salary: £70-90k

Location: Reading – Hybrid

Benefits: Competitive

Role Overview:

As Lead Data Engineer , you will be part of the Corporate Data team, reporting directly to the Senior Leadership team. You will lead a small team of data engineers, overseeing the design, build, and maintenance of the infrastructure and systems that collect, store, and process corporate data for reporting and analysis.

Key Responsibilities:

• Lead and manage a team of data engineers.

• Design, build, and maintain data infrastructure and systems.

• Ensure effective use of Microsoft Fabric and Synapse analytics platform.

• Collaborate with various stakeholders, including Data and Systems owners, Data Analysts, Data Architects, Infrastructure Architects, and external suppliers.

Experience required

• Dynamic and hands-on leader who excels in managing and coaching a team.

• Thrives in a collaborative environment and adapts to changing priorities with ease.

• Excellent communication and presentation skills, capable of conveying complex ideas to both technical and non-technical stakeholders.

• Deep understanding of DataLake, Lakehouse, and Warehouse paradigms.

• Extensive experience in developing and maintaining data pipelines for ELT/ETL from various data sources, including databases, APIs, text files, and Parquet.

• Expert knowledge of theMicrosoft Fabric Analytics Platform(Azure SQL, Synapse, PowerBI).

• Proficient in Python for data engineering tasks, including data ingestion from APIs, creation and management of Parquet files, and execution of ML models.

• Strong SQL skills, enabling support for Data Analysts with efficient and performant queries.

• Skilled in optimizing data ingestion and query performance for MSSQL or other RDBMS.

• Familiar with data processing frameworks such as Apache Spark.

• Highly analytical and tenacious in solving complex problems.

Industry Insights

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

Apr 9, 2026

Products

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

Advertising data science jobs in the UK requires a different approach to most technical hiring. 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.

Apr 5, 2026

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Mar 24, 2026

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.