Senior Data Engineer in London

Senior Data Engineer in London

London Full-Time 90000 - 125000 £ / year (est.) Home office (partial)
Gigs

At a Glance

  • Tasks: Build and improve data systems that power business decisions and financial reporting.
  • Company: Join a fast-growing tech company revolutionising mobile connectivity.
  • Benefits: Competitive salary, stock options, home office stipends, and learning budgets.
  • Other info: Collaborative culture with flexible work arrangements and opportunities for career growth.
  • Why this job: Shape the future of telecom with innovative data solutions and impactful projects.
  • Qualifications: Experience in data platforms, strong Python and SQL skills, and a focus on business value.

The predicted salary is between 90000 - 125000 £ per year.

About Gigs
At Gigs, we're building the operating system for mobile services—a platform that lets tech companies embed global connectivity into their products effortlessly. Just as Stripe lets any business add a payment button in seconds, Gigs empowers platforms to weave in connectivity—bridging the traditional world of telecom with modern tech. From fintechs launching mobile services to HR platforms offering work phone plans, we automate provisioning and remove telecom complexity.

Our team of around 150 people across the US and Europe, backed by nearly $100 million in funding from Ribbit Capital, Google, and Y Combinator. As one of the fastest-growing tech companies, bringing together early-stage engineers, product builders, and business athletes from companies like Stripe, Airbnb, and Shopify. We’re tackling deep technical and regulatory challenges to make connectivity truly seamless.

If you’re driven by curiosity, creativity, and the chance to shape the future of telecom, we’d love to hear from you.

Things We Care About

  • We are building in a highly complex space and tackling a massive problem. We want people who lean in when things get hard.
  • Speed. We move and we ship. We set bold deadlines and treat every week like it matters.
  • Ownership. If you see something broken, fix it. We don't wait for permission.
  • Customer Obsession. Our customers' product is our product.
  • Ambiguity. We're building frontier technology in a complex domain. You'll need sound judgement and good instincts to make decisions without complete information.
  • First principles. We don't ask how things have been done before. We ask why they were done that way at all.

The Role

As a Senior Data Engineer on the Data Team, you'll continue to build and improve the data platform the whole company relies on. Data at Gigs cuts across everything: usage events from telecom networks, billing and revenue data, product analytics, and the numbers Finance closes the books with.

We build data systems to solve business problems, not for their own sake. You'll make pragmatic technical decisions based on what the business needs, balancing speed, correctness, and long-term maintainability.

You care deeply about data modeling and how data is consumed, not only how it's moved and stored. As a senior engineer, you'll set architectural patterns and standards, and you'll make decisions the team builds on as it scales.

It's a cross-functional role. You'll work closely with Finance, Network Integration, Product, and other teams to understand their problems and turn them into reliable data products. You'll join a small Data Team reporting to our Head of Data, with a big surface area and significant influence over the technical direction of data at Gigs.

Salary range for Senior Data Engineer:
EU: 90,000-125,000
UK: 90,000-125,000
(The final offer depends on your background, skills, and how you perform through the process.)

What You Will Do

  • Build systems that turn complex usage and operational data into trustworthy datasets used for billing, financial reporting, and product decisions.
  • Build and operate the data platform and pipelines that power these use cases.
  • Integrate data from across the business — internal systems, third-party tools, and external partners — into one consistent platform.
  • Own data modeling across the warehouse and set standards for how data is structured as we scale.
  • Work mostly in Python and SQL, with Dagster as our orchestrator.
  • Build and maintain the cloud infrastructure behind the platform, managed with Terraform.
  • Work directly with stakeholders. Understand their problem, then deliver data they can trust.
  • Design for correctness and observability. Build the tests, monitoring, and data quality checks that make our numbers reliable.
  • Take problems from scoping to production, and operate what you build.

You can find more about how we work on our engineering page.

What We Are Looking For

  • You've designed and operated production data platforms. You've made architectural decisions around ingestion, storage, modeling, orchestration, and reliability, and you understand the trade-offs between them.
  • You have strong data modeling fundamentals. You have well-developed views on how data should be structured, can explain the trade-offs behind them, and know when different approaches make sense.
  • You put business value first. You build for impact, not for the sake of building, and you know how to make pragmatic trade-offs between speed and quality.
  • You're comfortable working with ambiguity. You can take an underspecified problem, work out what matters, and drive it to a production solution.
  • You use AI tools effectively as part of your engineering workflow. You give agents good context, critically review their output, recognize when they're wrong, and stay accountable for the code and technical decisions that result.
  • You're strong in Python and SQL, and experienced with modern cloud data platforms such as BigQuery, Snowflake, or Databricks.
  • You've worked with data orchestration tools such as Dagster, Airflow, or Prefect. We use Dagster.
  • You're comfortable owning cloud infrastructure. You can work with infrastructure-as-code such as Terraform and own the infrastructure your data systems depend on.
  • You communicate clearly across technical and non-technical teams. You can understand stakeholder problems in Finance, Network Integration, Product, and beyond, challenge assumptions when needed, and explain technical decisions and trade-offs.
  • You don't need to know the telecom industry.

Bonus Points If:

  • You have experience with GCP data services such as BigQuery, Pub/Sub, or Dataflow.
  • You know stream processing. We don't do much of it yet, but it's coming soon.
  • You've worked with dbt or similar transformation and modeling frameworks.
  • You're comfortable reading or contributing to application code in Go or Ruby when needed for an integration. Our backend is mostly written in those languages.
  • You've worked with financial, billing, metering, or usage data where errors have real downstream consequences.

Work At Gigs

At Gigs, we value in-person collaboration. We believe the best ideas, decisions, and relationships are built when teams spend meaningful time together, and our culture is designed around that belief. We support flexibility where it makes sense. Some focused work can be done remotely, and not every role or week looks the same. You should expect regular time in one of our hubs, as well as occasional travel for team workshops, customer meetings, and Gigs Republic, our bi-annual company off-site. Our offices are designed to feel like home-inspired workspaces, with plants, thoughtful tools, and small, tight-knit teams that make collaboration feel natural, energising, and effective.

What We Offer

At Gigs, we believe in rewarding excellence. We offer competitive compensation and stock options because we see you as a true partner in our growth. We also provide stipends for your home office or work setup, a budget for learning and development to fuel your career, and of course, a free phone and international data plan.

Want to learn more about our benefits, hubs, and what it’s like to work at Gigs? Check out our Careers page.

Senior Data Engineer in London employer: Gigs

Gigs is an exceptional employer that fosters a dynamic and inclusive work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and career advancement, alongside competitive benefits that support work-life balance. Join us to be part of a forward-thinking team that values innovation and collaboration in the rapidly evolving connectivity sector.

Gigs

Contact Details:

Gigs Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer in London

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Apply Directly through Our Website

When you find a suitable opening like Senior Data Engineer at Gigs, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Data Engineer in London

Data Engineering
Data Modeling
Python
SQL
Cloud Data Platforms
BigQuery
Snowflake

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Gigs, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Gigs. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Gigs

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Gigs!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.