National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer (Snowflake)

Computacenter AG & Co. oHG
Lakenheath
3 days ago
Create job alert

Select how often (in days) to receive an alert:
Location:

UK - London, UK - Birmingham, UK - Hatfield, UK - Manchester, UK - Milton Keynes, UK - Nottingham, UK - Reading |

Job-ID:

214264 |

Contract type:

Standard |

Business Unit:

IT Consulting
Life on the Team
At Computacenter, you’ll join one of the most respected and capable IT services organisations in Europe. Group Professional Services (GPS) is a thriving division made up of over 1,000 expert consultants and engineers across the UK, Germany, France, and India. We work with leading global clients to deliver cutting-edge infrastructure, cloud, and data solutions that shape the digital future.
As a Data Engineer, you’ll be part of a collaborative, high-performing team that values continuous learning, professional excellence, and technical innovation. You’ll contribute to major customer programmes and benefit from the support of a well-established knowledge-sharing community.
What you'll do
Design and implement data solutions using Snowflake across cloud platforms (Azure and AWS)
Build and maintain scalable data pipelines and ETL processes
Optimise data models, storage, and performance for analytics and reporting
Ensure data integrity, security, and best practice compliance
Serve as a subject matter expert in Snowflake engineering efforts within delivery teams
Collaborate with internal teams and customer stakeholders to define and deliver robust data solutions
Participate in customer meetings to present and discuss technical solutions
Identify and escalate technical risks where necessary
What you'll need
Proven experience designing and delivering enterprise-scale data warehouse solutions using Snowflake
In-depth understanding of Snowflake architecture, performance optimisation, and best practices
Strong experience in ETL development, data modelling, and data integration
Proficient in SQL, Python, and/or Java for data processing
Hands-on experience with Azure and AWS cloud environments
Familiarity with Agile methodologies such as Scrum, Kanban, or Lean
Excellent communication skills—able to articulate complex technical topics to diverse audiences
Ability to troubleshoot data issues and ensure data reliability and consistency
Experience with infrastructure automation tools (e.g., Terraform, CloudFormation) and DevOps practices is a plus
Relevant certifications such as SnowPro Core, AWS Certified Data Engineer – Associate, or Azure Data Engineer are highly desirable
Important Information
Please note that all successful candidates will be required to undergo security clearance as part of the onboarding process.
Join us at Computacenter and help shape tomorrow’s data landscape—today.
Ready to apply or want to learn more? We’d love to hear from you.
Current information for our applicants
Business as usual? Not quite. Of course, the Corona crisis also presents us with major challenges.
However, we are broadly positioned across various industries, plan for the long term and have always been flexible in our approach to our customers, especially in times of crisis. Our core business is digitisation. We believe that this topic will continue to grow in importance for many companies in both public and private sectors.
That's why there are still areas of our business with clear hiring requirements – and we would like to bring talent like you on board! By the way, we have completely virtualised our application process and our recruiters remain available to you should you have any questions.
We are still looking forward to getting to know you!
About us
Computacenter is a leading independent provider of IT infrastructure services. We work at the heart of digitisation, advising organisations on IT strategy, implementing the most appropriate technology and managing our customers’ infrastructures.
We offer a friendly, open working environment without too much fuss about hierarchy. We are looking for professionals with diverse competencies, personalities and strengths who want to live our shared value of teamwork and performance.
Interested in joining a company with a strong sense of community?
We’re growing. We’re hiring. We encourage. We empower. We support.
#CCfuturetalent

#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

National AI Awards 2025

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 Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.