Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Engineering Consultant

Staines
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineering Consultant

Senior Data Engineering Consultant - £60,000 - Hybrid

Senior Data Engineering Consultant

Senior Data Engineering Consultant

Senior Data Engineering Consultant — Shape Data Platforms

Senior Data Engineering Consultant - £60,000 - Hybrid

Senior Data Engineering Consultant
 
This leading boutique Data & Insights Consultancy are going from strength to strength and are seeking a Senior Data Engineering Consultant to join their high-performing team.
 
This is a fantastic opportunity to apply your strong hands-on data engineering skills across a wide variety of challenging projects, and deliver value-adding data and analytics solutions that make a true business impact.
 
Role & Responsibilities
This Data & Insights practice is made up of some of the most competent and highly skilled data professionals in the market, and you will get the opportunity to work with and learn from some of the best.
 
As a Senior Data Engineering Consultant you will utilise your functional and hands-on technical data engineering skills to implement end-to-end reporting, analytics and data solutions for a variety of different customers, from large enterprises to small start-ups.
 
You will get to work on and lead exciting and complex projects that vary in size and complexity, and you will take ownership of deliveries; gathering requirements, understanding business problems, designing and building solutions, reporting and analysis through to go-live and training. You will have plenty of opportunity to flex your broad, hands-on, data skills to help harness solutions and solve problems, and you will have the opportunity to witness the change and impact your work has on the client.
 
Responsibilities will include:

Building and implementing technical data solutions for customers using a variety of different data tools and platforms
Consulting with clients on approach, and suitable technologies
Technical project leadership, requirements gathering, delivery and documentation
Writing code and building solutions
Managing junior consultants on deliveries 
What is required?
To be considered, you will be a Technical Data Consultant or Data Engineer who has a track record of delivering data solutions, ideally in a client facing consultancy environment.
 
You will have a strong hands-on technical skillset spanning data engineering, data integration and data migration and will be adaptable, able to work with different tools and technologies, depending upon the client and project needs.
 
You will possess strong stakeholder engagement and management skills and will be able to evidence where you have led or at least played a key role in the delivery of data solutions, managing projects and mentoring or overseeing the work of more junior colleagues.
 
You will bring experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to:
 
MS Fabric stack
Databricks
Azure
SQL
Tableau / Power BI
 
A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle OBIEE and/or Oracle Analytics Cloud is desirable.
 
A self-starter, you will also need excellent communication and presentation skills.
 
Rewards
 
A competitive salary of £60,000-£80,000 is on offer (depending on your level of experience) as well as an annual bonus of £5k-£7k (paid quarterly), private medical, pension (up to 5% matched) and other perks such as a mobile phone allowance.
 
This is a hybrid role that offers lots of flexibility to work remotely, but visits to the office in Surrey are required once er week (as well as occasional visits to the office in London Bridge).
 
This consultancy has big ambitions to grow, so if you are a Senior Data Engineering Consultant and want to work alongside some of the industry’s best on some exciting client projects, then this could be the challenge you are seeking!

If you are interested please apply ASAP. The People Network is an employment agency and will respond to all applicants within three - five working days. If you do not hear within these timescales please feel free to get in touch

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.