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

Nominate & Attend

Sr Data Engineer

DoiT
London
1 week ago
Create job alert

Get AI-powered advice on this job and more exclusive features.
Location

Our Sr Data Engineer will be an integral part of our Engineering teams in EMEA.
Location

Our Sr Data Engineer will be an integral part of our Engineering teams in EMEA.

This role is based remotely in EMEA in one of our legal entities: the UK, Ireland, Israel, Estonia, or Spain. It is also available to contractors in other Eastern European locations and Portugal.

Who We Are

DoiT helps fast-growing, digital native companies globally to harness public cloud technology and services to drive business growth. A full-service provider of multi-cloud technology and expertise, DoiT combines the power of intelligent software with deep expertise in Kubernetes, artificial intelligence, and more to deliver the true promise of the cloud at peak efficiency - with ease, not cost.

An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure with $2B cloud spend under management, DoiT works alongside more than 3,000 customers in 70 countries. At DoiT, you’ll join a growing team of committed, experienced, and collaborative “Do’ers” who are passionate about solving the most complex cloud challenges.

The Opportunity

As a Sr Data Engineer, you will be working on improving the DoiT Cloud Intelligence product and DoiT Cloud Intelligence product and driving the performance improvement of large-scale data warehouses. You'll be collaborating with product managers and developers from other teams and also participating in product-making decisions.

Responsibilities

Lead the analysis and optimization of big data warehouse performance and cost effectiveness
Collaborate with engineering teams to improve data models and pipelines
Design and implement tools for monitoring and diagnosing data system health
Guide best practices for table design, partitioning, clustering, and indexing
Contribute to platform code and infrastructure to support scalable analytics

Qualifications

5+ years of experience working with large-scale data systems in production
Deep knowledge of ClickHouse performance internals or any other big data platform.
Proven expertise in query tuning, cost optimization, and storage design
Proficiency in SQL and familiarity with backend coding (e.g., Go, Python)
Strong understanding of cloud infrastructure
Real-life experience with real-time analytics
Excellent communication skills in English, both written and verbal
Self-organized, Goal-oriented, self-motivated individual who is confident, thorough and tenacious
Ability to effectively operate with flexibility in a fast-paced, constantly evolving team environment
A great sense of humor and enjoys having fun at work

Bonus Points

BA/BS degree or equivalent practical experience
Experience with Google Cloud or AWS services from a production environment

Are you a Do’er?

Be your truest self. Work on your terms. Make a difference.

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.

What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge and having fun! Click here to learn more about our core values.

Sounds too good to be true? Check out our Glassdoor Page.

We thought so too, but we’re here and happy we hit that ‘apply’ button.

Unlimited PTO
Flexible Working Options
Health Insurance
Parental Leave
Employee Stock Option Plan
Home Office Allowance
Professional Development Stipend
Peer Recognition Program

Seniority level

Seniority level Mid-Senior level
Employment type

Employment type Full-time
Job function

Job function Information Technology
Industries Technology, Information and Internet
Referrals increase your chances of interviewing at DoiT by 2x
Sign in to set job alerts for “Senior Data Engineer” roles.

London Area, United Kingdom $100,000.00-$120,000.00 2 weeks ago
London, England, United Kingdom 4 weeks ago
Senior Data Analyst, Strategic Marketing

London, England, United Kingdom 4 weeks ago
Greater London, England, United Kingdom 1 week ago
Greater London, England, United Kingdom 4 days ago
City Of London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 13 hours ago
London, England, United Kingdom 6 days ago
Manchester, England, United Kingdom 1 week ago
Senior Fraud Strategy Data Analyst - Control Optimisation

London, England, United Kingdom 1 month ago
Birmingham, England, United Kingdom 1 week ago
Edinburgh, Scotland, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
Newcastle Upon Tyne, England, United Kingdom 1 week ago
Manchester, England, United Kingdom 1 week ago
London, England, United Kingdom 4 days ago
Senior React Native Engineer - Outside of IR-35

London, England, United Kingdom 2 months ago
London, England, United Kingdom 5 months ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Related Jobs

View all jobs

Sr. Data Engineer

Sr Data Engineer

Sr. Data Engineer

Sr. Data Engineer

Sr. Data Architect - Gen AI Engineering

Sr. Data Architect - Gen AI Engineering

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.