Location

Remote, UK

Employment Type

Full time

Department

EngineeringData Engineering

Senior Data Platform Engineer

🌍 UK (Remote or Hybrid, it’s up to you!)

💰 £65,000 - £75,000 base pa (dependent on experience)

Our Perks

❤️ Monthly Health & Wellness budget, increasing with length of service

📚 Annual Learning and Development budget, increasing with length of service

🤸🏽‍♂️ Flexible working in a choice-first environment - we trust the way you want to work!

🖥️ Work From Home Allowance, which renews every two-years

🌴 25 Holiday Days + your local bank holidays, plus an extra day for every year of service

🎂 Your birthday off

🍼 Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave

⚕️ Optional Healthcare Plan

🛟 Life & income protection (Location dependent)

🤝 Employee Assistance Programme (UK Only)

📈 The opportunity to share in the company’s success through options

🌆 If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace

🦸‍♀️ The Role 🦸‍♀️

Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh etc. put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence (CXI) platform continuously analyses explicit and implicit feedback to enable our customers to identify what they should do next.

We're now looking for a talented Senior Data Platform Engineer to join the team!

👉 What you'll be doing:

You’ll be owning and extending the data platform so we can build customer pipelines quickly and safely on a rock-solid foundation. This means you will:

Own and evolve the data platform: You'll design, code, and maintain core platform services and internal Python libraries, and build abstractions for new integrations.
Develop and operate data pipelines: You'll create and optimise complex Dagster jobs, DBT models, and BigQuery workflows, and write new Airbyte connectors in Python.
Build and maintain service interfaces: You'll design and extend FastAPI REST services used by internal tools and customer-facing services.
Run infrastructure in Kubernetes: You'll author and update Helm charts, debug pods, tune resources, and handle roll-outs on GKE.
Manage event flows: You'll Manage event flows with Google Pub/Sub and keep SLO dashboards humming in the Grafana/Loki stack.
Champion observability & reliability: You'll instrument pipelines with logs, metrics, and traces; lead incident response and blameless post-mortems; and automate fixes.
Collaborate across the company: You'll pair with Data Ops engineers on tricky customer builds, work closely with Product managers to shape requirements, and review code.

🧰 What you’ll need:

Solid Python engineering, including idiomatic code, testing, packaging, and CI/CD.
Experience using Kubernetes (Helm, pod debugging, cluster logs).
Familiarity with modern data stacks, ideally Airbyte, Dagster, dbt, and BigQuery (or close cousins such as Fivetran, Airflow, Snowflake, Redshift).
Comfortable with SQL for analysis and debugging. Exposure to pub/sub or streaming systems (GCP Pub/Sub, Kafka, Kinesis, etc.).
A bias for automation, observability, and clean documentation.
Experience delivering end-to-end data pipelines or platform services from design through deployment and the ability to take well-scoped stories and drive them independently.
Evidence of technical leadership or architecture ownership.
Comfortability with Infrastructure-as-Code (Terraform, Pulumi) and cost/performance tuning in GCP (or AWS/Azure).
Experience designing large-scale, mission-critical data platforms (multi-TB / multi-tenant).
A love of collaborative working, including mentoring engineers, driving cross-team standards, and leading incident response or performance initiatives.

🔎 Our Hiring Process

Introduce yourself – you’ll have an asynchronous interview and be able to record your answers in your own time - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step.
Get to know your would-be manager – you’ll have a call with Dean Cornish, our Head of Data Platform Engineering, as well as a member of our Data Engineering team to learn more about the role and show off your experience.
Get to know your would-be team – You'll meet people you'll be working closely with from the Engineering team. You'll lead a collaborative system-design exercise and do a deep dive into one of your past projects.
How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth.

💖 Our Values

We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach.
We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust.
We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us.
We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively.
We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly.
We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today!

🌈 Diversity & Inclusion 🌈

We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply!

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Chattermill jobs

Senior Data Platform Engineer