Senior Data Engineer - Data Platform team (100% Remote within Spain)

Навыки

• Airflow
• AWS
• Big Data
• CI/CD
• Code review
• Коммуникация
• Data Quality

О компании и продукте

• We are leaders in 13 countries so far, and more than 90 million patients trust us every month. 300k+ specialists believe in us and our product, and so do leading venture capital funds such as Point Nine Capital, Goldman Sachs Asset Management and One Peak Partners
• At Docplanner, we are a diverse group of over 300 people working in Engineering, Data, and Product teams. We are responsible for building the product for all locations
• Our platform spans ingestion from dozens of heterogeneous sources, orchestration, a cloud data warehouse, transformation layers, and the infrastructure underneath it all. You won't just work on one slice: we expect seniors to be comfortable across the stack - from a dbt model that analysts depend on, to the Kubernetes workload that runs it, to the Terraform that provisions it, to the orchestration of all the pipelines involved. You'll go deeper in some areas than others, and we'll make sure your depth is put to good use

Задачи

• Design, build, and operate scalable data ingestion and processing pipelines across many source systems
• Lead architectural decisions on the platform and write the proposals that get them adopted
• Improve the reliability, observability, and cost-efficiency of the platform: if it pages someone at 9am, you'll want to know why and make it not happen again
• Develop our infrastructure in close cooperation with Platform engineers
• Work alongside analytics engineers, analysts and all data consumers to make the data experience more humane - better contracts, better tooling, better self-service
• Mentor other data engineers through code review, pairing, and design feedback
• Drive automation and AI-assisted operations: we'd rather build the tool than solve the same problem twice
• Interact daily with other teams (analytics engineers, analysts, developers, platform engineers, product managers) to turn ambiguous data problems into shipped solutions
• WHAT WILL HELP YOU THRIVE IN THIS ROLE
• Several years of experience building and operating production data platforms - data warehousing, data lakes, orchestration, and ingestion are the bread and butter of your experience, including events streaming
• Strong Python and SQL skills with solid software engineering practices (testing, CI/CD, code review - you treat data code as code)
• Deep experience with an orchestrator (we use Airflow): not just writing DAGs, but running, scaling, and debugging the thing itself
• Strong experience with cloud platforms (we use AWS) and cloud data warehouses
• Working knowledge of Docker and Kubernetes - you can deploy, inspect, and debug your own workloads
• You've seen enough incidents to design for failure: idempotency, backfills, data quality checks, and monitoring are reflexes, not afterthoughts
• You communicate like a senior: you can explain a technical trade-off to an analyst, a PM, or a fellow engineer - and you write things down properly
• You're proactive and pragmatic: you don't just solve the problem, you ask why it happened, whether it's worth preventing, and what the simplest robust fix is
• An eye on the future: you're excited by AI tools automating operational work, and you want to help us build toward that
• YOU COULD HELP US IN TWO AREAS
• Depending on where your depth sits you could help us in one of two directions — one leaning a bit more towards the platform side, one a bit more towards enablement
• More platform-leaning: Kubernetes operations, Infrastructure as Code (Terraform), Docker optimization, and CI/CD
• building and running the runtime layer that data workloads live on
• More enablement-leaning: enabling different product areas in using the data platform, including ingestion, modeling through dbt and serving data to different scopes
• In both directions: experience with streaming and message-driven architectures
• We work with RabbitMQ, so that's a strong plus, but Kafka or similar counts too

Требования

• You must be based in Poland
• You must have very good English communication skills, both spoken and written
• LET’S TALK MONEY
• A salary adequate to your experience and skills
• TRUE FLEXIBILITY AND WORK-LIFE BALANCE
• Remote or hybrid work model with or hub in Warsaw
• Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly)
• 20/26 days of paid time off (depending on your contract)
• Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate)
• HEALTH COMES FIRST
• Private healthcare plan with Signal Iduna https://www.signaliduna.pl/for you and subsidized for your family
• Multisport card co-financing for you to have access to sports facilities across Poland
• Access to iFeel https://ifeelonline.com/, a technological platform for mental wellness offering online psychological support and counseling
• KEEP GROWING WITH US
• Free English and Spanish classes
• We promote and embrace equal opportunities in our hiring process, and also every day at work
• When you apply for our roles you receive equal treatment regardless of age, disabilities, gender reassignment, marital or civil partner status, pregnancy or parental status, race, colour, nationality, ethnic or national origin, religion or belief, sex, sexual orientation or any other dimension of human difference
• If you require additional support in your recruitment process, we kindly encourage you to let us know
• Behind those words you’re reading, there’s a person (hi!) who already helped a candidate by adapting the interviews, and now we’re lucky to have this person with us
• So, even if you’ve never asked for it before, may this serve as a sign that, now, you can do so
• We can only truly be equal if we adapt to each other
• We believe all humans, in all their beautiful diversity, should have equal rights, dignity and respect. Period.” Mariusz Gralewski, CEO
• And yet, employing over 2.500 people all over the globe, we managed to keep the startup mindset we started with over 10 years ago
• Many of us have been here for over 5 years, yet we still welcome each new person with great joy and excitement
• We could tell you about us, but we will let our reviews on Glassdoor https://www.glassdoor.es/Overview/Working-at-DocPlanner-EI_IE1071394.11,21.htm?countryRedirect=true speak for themselves

Условия

• It all started 12 years ago when we asked ourselves: is anyone in healthcare thinking about patients?
• We jumped in and we empowered patients by giving them access to leave and read reviews about their visit
• We then provided doctors with the technology to manage bookings easily and save time, so they could devote themselves to what they always wanted: treating patients
• And today is the day in which we ask you: wanna join us in the next step of making the healthcare experience more human?
• DOCPLANNER AT SCALE
• We want to make the healthcare experience more human, and that starts with you being you
• We believe that taking the diversity of human experience into account makes a better healthcare experience for all
• We’re not just different: we embrace diversity
• We will encourage you to come to work your whole self, and that includes not coming to the office at all if you prefer not to, as we're 100% remote-friendly
• JOB DESCRIPTION
• At Docplanner, data is at the core of everything we do to make the healthcare experience more humane
• Our Data Platform Team is the backbone for all things data: serving analysts, engineers, and product teams with robust infrastructure, high-quality data pipelines, and modern tooling
• We’re looking for a Senior Data Engineer to join our team and support our growing platform operations
• This is a role for someone who has already built and operated data platforms at scale, has strong opinions (loosely held) about how they should work, and wants to own problems end to end rather than tickets
• WHAT THIS ROLE IS REALLY ABOUT
• You'll be a technical reference point in the team: designing and building the systems that ingest, transform, and serve data for the whole company — and raising the bar on how we do it
• That means owning architecture decisions, driving them from proposal to production, and mentoring other engineers along the way

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