Senior Data Engineering Consultant

Staines
1 week ago
Applications closed

Related Jobs

View all jobs

SAS Data Engineer

Senior Data Engineer

Senior Data Engineer

Principal GCP Data Engineer

Principal GCP Data Engineer

Principal GCP Data Engineer

Senior Data Engineering Consultant

Senior Data Engineering Consultant required by a fast-growing boutique consultancy.

This is a superb opportunity to join a specialist Data & Insights Practice and play a key role where you will lead, design and deliver data & BI projects for a range of clients, whilst still applying your hands-on data engineering skills.

What will you do?
Day-to-Day you will utilise your blend of functional and technical skills to design, architect and implement end-to-end reporting, analytics and data solutions for a variety of customers, from large enterprises to small start-ups.

You will 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 user training.

This role will provide you with plenty of opportunities to flex your data skills to help harness solutions and solve real problems, and you will get to see the fruits of your labour and the impact the deliveries have on the client.

Responsibilities:

Engaging with customer stakeholders, forging strong relationships and capturing requirements
Designing and building technical data solutions using a variety of different data tools and platforms
Consulting with clients on the best approach and most suitable data technologies
Leading projects, delivery and documentation
Using your hands-on technical skills to write code, architect, build and deploy solutions
Managing and mentoring junior consultants on deliveries
Your skills:
To be considered you must be a Data Consultant or Data Engineer who has strong hands-on technical skills in data modelling / dimensional modelling & architecting BI solutions.

You will bring a track record of leading projects and driving them across all aspects of the lifecycle - not just working as part of a big team writing code. You will possess a strong blend of technical and functional experience, and will have ideally operated within a client-facing/consultancy environment, delivering end-to-end projects successfully.

Your hands-on technical skillset will need to be strong, and you must have experience of data engineering, data modelling, dimensional modelling and designing/architecting BI solutions. You will be adaptable and able to work with different tools and technologies, depending on the client and project needs but will ideally possess strength in some or all of the following:

MS Fabric stack
Databricks
Snowflake
Azure / AWS
SQL (advanced)
Power BI
Tableau
Data Modelling including star schema
A 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 open-minded to learning new skills. Experience in Oracle OBIEE and/or Oracle Analytics Cloud is also desirable but not essential.

Excellent communication skills and the ability to engage and manage client stakeholders is also essential.

What is the package?
A competitive salary of £55,000-£70,000 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 (close to Heathrow) are required roughly once a week (some weeks less, some weeks more, with possible visits to client sites if requested)

This consultancy has big ambitions to grow, so if you are a Senior Data Engineering Consultant with strong tech skills 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.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.