Data Engineer 100% Remote (España) - Remote
Data engineer joining Keyrock's new Central Data Team to build streaming and batch pipelines for market, trading, and portfolio data, plus the lakehouse/time-series platform (Kafka, ClickHouse), data governance, and self-serve data tooling. Fully remote within Spain; heavy Python/SQL and infra-as-code experience required.
- Compensation
- Not disclosed
- Location
- Barcelona, Spain
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 8+ years of experience building production data systems
- Strong proficiency in Python and SQL, including reasoning about query engine behavior
- Writes code that is easy for others to read, test, and delete
- Strong understanding of data modelling for streaming and analytical workloads
- Treats efficiency, quality, idempotency, and observability seriously by default
- Has designed and operated streaming systems on Kafka, Redpanda, MSK, or Kinesis (partitioning, consumer groups, offsets, schema registries)
- Production experience with a time-series store (TimescaleDB, QuestDB, or similar)
- Experience with lakehouse architecture (table layout, partitioning, compaction)
- Builds for self-healing and idempotency (safe reprocessing, retries without double-writes)
- Works with Docker, Terraform, and CI/CD as part of daily workflow
- Thinks about cost and performance early
- Instruments systems with logs, metrics, and traces from day one
- Designs for data quality and governance up front
Nice to have
- Production experience with ClickHouse and table design driven by query patterns
Full description
About Keyrock Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.Today, we partner with over 250 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from self-taught DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, and Singapore, and host regular online and offline hangouts to keep the crew tight.We are trading on more than 80 trading venues, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks.But we’re more than a service provider. We’re an initiator. We’re pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.
About The Team And Why The Role Exists The Central Data Team (CDT) is only a few months old, but data has been Keyrock's lifeblood since day one. We're now building the Keyrock Data Platform to give Keyrockers, and the AI agents working alongside them, the data and context they need to act fast and autonomously within agreed boundaries and aligned with our shared goals. Doing that means taking data from across the company and making sense of it in real time for all the functions that depend on it: trading desks, wealth and asset management, product, risk, finance, compliance, and research to name a few.You'd be one of the early hires in CDT and we expect you to contribute to most of the bigger decisions and build work. The standards we settle on and the way the team ends up working are still open.
What You’ll Do
- Build streaming and batch pipelines that ingest, normalise, and distribute market, trading, and portfolio data, resilient to feed and exchange failures.
- Build the self-serve tooling (SDKs, patterns, templates, AI agents) so other teams publish, consume, and build on data products without waiting on us.
- Own data contracts and schema evolution. Keep schema changes from turning into multi-team coordination events.
- Design the lakehouse and time-series layer around consumer query patterns.
- Build and evolve the Data Governance and Data Quality Framework: stale-feed detection, schema validation, range checks, idempotent writes, lineage, ownership, self-healing.
- Build the derived analytics the business runs on: cross-exchange spreads, VWAP at depth, order book microstructure for the desks;