Welcome to the good side of tech You might have heard about us, but with a different name: Doctoralia. It all started 12 years ago when we asked ourselves: is anyone in healthcare thinking about patients? 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?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. 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.At Docplanner, we are a diverse group of over 300 people working in Engineering, Data, and Product teams. In case you’d like to see how it feels to be 100% yourself at work, here’s a video of us.Because it feels good to tell your family and your friends how you made the world a little bit better.

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 DescriptionAt 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 aboutYou'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. 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. What you'll be doingDesign, build,



and operate scalable data ingestion and processing pipelines across many source systemsLead architectural decisions on the platform and write the proposals that get them adoptedImprove 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 againDevelop our infrastructure in close cooperation with Platform engineersWork alongside analytics engineers, analysts and all data consumers to make the data experience more humane - better contracts, better tooling, better self-serviceMentor other data engineers through code review, pairing, and design feedbackDrive automation and AI-assisted operations: we'd rather build the tool than solve the same problem twiceInteract daily with other teams (analytics engineers, analysts, developers, platform engineers, product managers) to turn ambiguous data problems into shipped solutionsWhat will help you thrive in this roleSeveral 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 streamingStrong 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 itselfStrong experience with cloud platforms (we use AWS) and cloud data warehousesWorking knowledge of Docker and Kubernetes - you can deploy, inspect, and debug your own workloadsYou've seen enough incidents to design for failure: idempotency, backfills, data quality checks, and monitoring are reflexes, not afterthoughtsYou 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 properlyYou'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 isAn eye on the future: you're excited by AI tools automating operational work,



and you want to help us build toward thatYou could help us in two areasDepending 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:Kubernetes operations, Infrastructure as Code (Terraform), Docker optimization, and CI/CD; building and running the runtime layer that data workloads live onMore enablement-leaning: enabling different product areas in using the data platform, including ingestion, modeling through dbt and serving data to different scopesIn both directions: experience with streaming and message-driven architectures. We work with RabbitMQ, so that's a strong plus, but Kafka or similar counts tooA bonus either way: big data tooling (Spark) or experience operationalizing ML models.Whichever direction you come from, the job is data engineering across the stack.Why join Docplanner’s Data Platform Team?You’ll be part of a tight-knit, cross-functional team of data engineers, analytics engineers and ML Ops engineersWe treat the data platform as a product - you’ll help build and improve it continuously, and as a senior you'll help decide where it goes nextReal scale, real impact: our platform powers decision-making for a company serving 90+ million patients a month across 13 countriesYou’ll work in a remote-first, versátil environment with smart, humble people who care about quality and impactLocation & Language RequirementsYou must be based in SpainYou must have very good English communication skills, both spoken and writtenLet’s talk moneyA salary adequate to your experience and skills.Flexible remuneration and benefits system via Flexoh, which includes: restaurant card, transportation card, kindergarten, and training tax savings.True flexibility and work-life balanceRemote or hybrid work model with our hub in Barcelona.Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly).Summer intensive schedule during July and August (work 7 hours, finish earlier).23 paid holidays, with exchangeable local bank holidays.Additional paid holiday on your birthday or work anniversary (you choose what you want to celebrate).Health comes firstPrivate healthcare plan with Adeslas for you and subsidized for your family (medical and dental).Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling.Keep growing with usFree English and Spanish classes.So, even if you’ve never asked for it before, may this serve as a sign that, now, you can do so.

📌 Senior Data Engineer (m/w/d) Remote, English (Cataluña)
🏢 Docplanner
📍 Cataluña