Data Engineering Consultant (multiple levels)

Xcede
Birmingham
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Python Data Engineer

Data Analyst / Civil Engineer / Geophysicists / Geoscientist

Data Analytics Engineer

Data Engineer / Consultant

Data Engineer / Consultant

Data Engineering Consultant (Azure) – hiring at multiple levels

Hiring in London, Midlands, Edinburgh & Glasgow

Salary Ranges from £40,000 - £65,000 + Car Allowance + Bonus

Hybrid Working (x3 days in office, x2 remote)



OVERVIEW


A major global consultancy operating across a breadth of industries & sectors is scaling it's Data function and hiring for multiple Data Engineering Consultants across various levels (Consultant, Senior & Principal). You will be joining a Data function working across a breadth of interesting projects for their clients, demonstrating both technical ability and stakeholder engagement skills when delivering impactful Data Engineering projects. Your responsibilities as a Data Engineering Consultant will include but not be limited to:


  • Leverage your technical expertise in Data Engineering to deliver impactful projects for a range of clients across their portfolio.
  • Demonstrate your knowledge of Python & Azure to deliver on engagements for major clients.
  • Collaborate effectively within a team of other Data Engineering Consultants on a breadth of projects.
  • Effectively engage and communicate with non-technical stakeholders in a role that requires both technical ability and business-facing skills.



YOUR SKILLS & EXPERIENCE


A successful Data Engineering Consultant will have the following:


  • Solid technical ability inPython,SQL&Azure(essential).
  • Strong proficiency in Microsoft Azure and relevant tools/ technologies (Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse).
  • Proven understanding of DevOps best practices:CI/CD(Azure DevOps is preferred).
  • Solid communication skills and business-facing/ stakeholder engagement experience.



THE BENEFITS:


  • Competitive Salary
  • Bonus
  • Cash Car Allowance (paid out same as base salary - £4,000)
  • Hybrid Working (3 days in office, 2 from home)


HOW TO APPLY


Please register your interest by clicking the Apply Link or send your CV to


** There is no sponsorship available for this role. **

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.

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.

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.

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.