A technology-driven financial markets organisation in Estonia is seeking an experienced Market Data Engineer to build, maintain, and improve the data infrastructure supporting its trading, analytics, and financial technology operations. This position is suited to a data engineer who understands both modern data architecture and the demanding requirements of real-time financial-market information.

The successful candidate will work with large volumes of structured and unstructured market data, developing reliable pipelines that collect, normalise, validate, enrich, and distribute information across internal systems. You will collaborate with quantitative analysts, traders, software engineers, and data scientists to ensure market data is accurate, timely, scalable, and readily available for research and production use.

Key Responsibilities

• Design and maintain scalable pipelines for real-time and historical market data.
• Ingest data from exchanges, brokers, liquidity providers, financial data vendors, and other approved sources.
• Develop systems for collecting prices, order books, trades, volumes, reference data, and related market information.
• Build robust processes for data cleansing, validation, normalisation, and enrichment.
• Monitor data quality, latency, completeness, and availability across critical pipelines.
• Investigate data discrepancies, missing records, feed interruptions, and unexpected market-data behaviour.
• Develop efficient storage architectures for high-volume time-series and historical market datasets.
• Support real-time data distribution to trading, quantitative research, risk, and analytical systems.
• Work with engineering teams to improve data-processing performance and scalability.
• Develop automated monitoring, testing, and alerting for market-data infrastructure.
• Maintain documentation covering data sources, schemas, pipelines, transformations, and dependencies.
• Support historical data management and reliable dataset access for quantitative research and backtesting.
• Implement appropriate controls for data lineage, integrity, and reproducibility.
• Contribute to the continuous improvement of the organisation’s market-data architecture.

Candidate Profile

• Professional experience in data engineering, financial data engineering, market-data technology, or a related field.
• Strong Python and SQL skills; experience with Java, Scala, or another programming language is advantageous.
• Practical experience building ETL/ELT and real-time data pipelines.
• Understanding of financial-market data, including prices, trades, order books, and reference data.
• Experience working with APIs, streaming systems, and high-volume datasets.
• Familiarity with Kafka, Spark, Airflow, cloud platforms, or comparable technologies is beneficial.
• Strong understanding of relational and time-series databases.
• Experience with data-quality monitoring and automated validation.
• Strong troubleshooting and analytical capabilities.
• Ability to work effectively with quantitative, trading, and software-engineering teams.
• Relevant degree in computer science, data engineering, mathematics, engineering, or a related technical field.

Why This Opportunity

This role provides direct exposure to financial-market data infrastructure, electronic trading technology, and quantitative analytics within Estonia’s technology ecosystem. The successful candidate will play an important role in ensuring that high-quality market data reaches the systems and professionals that depend on it.

Are you interested in this position?

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