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

Nominate & Attend

Senior Data Engineer (Databricks) - UK

Datapao
London
1 week ago
Create job alert

We are currently looking for a

Senior Data Engineer

to join us remotely in the UK. We plan to set up a hub in the UK in the following 12-18 months to enable our GTM strategy, and this would be our first hire in the region. You will work with our EMEA and US customers to help them solve their data engineering, ML, ML Ops, and cloud migration puzzles.
"As a Data Engineer at DATAPAO, you will have the unique opportunity to push the boundaries of technology and lead the way in how data transforms the world. We work with customers who want to innovate and change their industries. So it never gets boring! Sorting out a complex technical puzzle, setting up a new data architecture from scratch, or guiding our customers through adopting the latest technologies is our routine here. Hence, we'd expect you to be more than just a (data) engineer. We'd expect you to breathe and live data, to thrive for knowledge and excellence, and to be keen to build something enduring and impactful for our customers. We'd expect you to be a (data) Paoneer!"

(Máté Gulyás, CEO)
What will you do?
As a

Senior Data Engineer , you are expected to deliver (across industries) on some of our most complex projects - individually or by leading small delivery teams. Although we work for the biggest multinational companies where years-long behemoth projects are the norm, our projects are fast-paced, typically 2 to 4 months long. Most are delivered using Apache Spark/Databricks on AWS/Azure and require you to directly manage the customer relationship alone or in collaboration with a Project Manager. Additionally, at this seniority level, we expect you to compound your impact across the team and the organization - by supporting our pre-sales process, mentoring more junior engineers, and contributing to hiring best-in-class data talent.
What does it take to fit the bill?
Technical Expertise
You (ideally) have 5+ years of experience in Data Engineering , with a focus on cloud platforms (AWS, Azure, GCP);
You have a proven track record working with Databricks

(PySpark, SQL, Delta Lake, Unity Catalog);
You have extensive experience in ETL/ELT development and data pipeline orchestration

(e.g., Databricks Workflows, DLT, Airflow, ADF, Glue, and Step Functions.);
You’re proficient in SQL and Python , using them to transform and optimize data like a pro;
You know your way around CI/CD pipelines and Infrastructure as Code

(Terraform, CloudFormation, or Bicep);
You’ve hands-on experience integrating Databricks with BI tools

(Power BI, Tableau, Looker).
Consulting & Client-Facing Skills
Ideally, you bring a proven history in consulting , from scoping to gathering requirements, designing solutions, and communicating effectively with stakeholders. If you bring a product company background with you, that's also fine as long as you can show a good consulting mindset and desire to be customer-facing;
You’ve successfully delivered projects

like Data Lakehouse buildouts and cloud data migrations;
You excel in explaining technical concepts to non-technical audiences

and drive decision-making.
Operational Readiness & Soft Skills
You’re (almost) ready to hit the ground running , immediately contributing to live client projects;
In a fast-paced consulting environment,

where no two days are the same, flexibility and problem-solving comes naturally to you. Furthermore, resilience and thriving on challenges are essential traits in our industry;
Your communication skills are on point —whether you’re writing, speaking, or collaborating with stakeholders, you know how to keep everyone in the loop.
What do we offer?

You'll have the rare opportunity to join DATAPAO at a time when you can still meaningfully impact our growth trajectory and organizational success. Furthermore, as our first-ever UK hire, you’ll also get to spearhead our regional expansion.
Surely, we know everyone needs a little something to do their best work. Here is a list of some other extras we offer:
The chance to work remotely

- as we don't have a physical office in the UK yet, we offer a fully remote setup for the time being. However, given our strong community emphasis, we'd expect you to spend one month in our Budapest hub during onboarding and visit the office for one week every quarter;
World-class educational benefits

- there’s no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications, you'll get dedicated time for learning during work hours, and access to our internal library;
Flexible PTO days

- we’re flexible with how many days you take off if that does not conflict with customer success and the work getting done;
4 weeks of paternity leave

- because we think it’s important for both parents to be there when it matters the most;
Employee Assistance Program (EAP)

- life always happens! And we'd like to be there for you when it counts the most. Through EAP, we offer our employees access to psychology, financial, and legal consulting services via phone or in person;
Pension scheme enrollment and a comprehensive private health insurance plan

- offered via our EOR (Employer of Record) provider, Remote.com. Remote will be your official employer in the UK for the foreseeable future until we establish our own legal entity in the UK;
Top-notch working equipment

- working comfortably means working well. You will get a MacBook Pro, a phone, and a sign-up bonus of 1000 GBP gross (to be paid with your first payroll) to set up your home office or whatever else is needed to give your best;
The chance to make an impact in a high-transparency culture

- open feedback and no politics are things we value a lot at DATAPAO. Additionally, you'll get the chance to work in the field of data & AI and shape the future of a rapidly growing tech company.
IMPORTANT NOTE:

Given that we are still sorting our ways out in the UK, this list will likely get an update in the following months, and we're also committed to growing it with us over time.
The gross salary for this position ranges from

70.000 to 100.000 GBP/year , depending on your assessed seniority level during the selection process.
About DATAPAO
At DATAPAO, we are delivery partners and the preferred training provider for Databricks, the creators of Apache Spark. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin and Logically to name just a few.
For more insights into DATAPAO, check the below links:
You can also follow us on LinkedIn for all the good stuff or just hit our recruitment team at


We’re strong believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don't tick every box in the requirements. If you’re passionate about data and learning new things, you’ll fit right in, and we'd love to hear back from you.

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer (SQL Server / AWS)

Senior Data Engineer - Snowflake - £100,000 - London - Hybrid

Senior 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.