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Senior Data Engineer

Aspect Capital — United Kingdom · Posted ~13 hours ago

Senior

Skills

Data engineering Data ingestion Data storage Data transformation Data distribution Production support Software engineering Java MATLAB Cloud infrastructure On-premises infrastructure Time-series data systems

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Summary ✨ AI‑Generated

A London-based systematic investment organization is looking for a Senior Data Engineer to join its data engineering team. You will own the ingestion, storage, transformation, and distribution of diverse datasets, working across cloud and on-premises systems while modernizing data processing and access infrastructure.

Highlights

Join a lean engineering team with end-to-end ownership of data delivery. Work across modern and legacy systems, on-premises and cloud infrastructure, and contribute to a major technology modernization initiative supporting sophisticated data-driven strategies.

Description

Aspect Capital is an award-winning systematic hedge fund based in London that manages over $9 billion of client assets, where technology is an integral part of the business. We are looking for a senior engineer to join our Data Engineering team. The team’s role is broad, covering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure. This is an exciting time to join the team as we consolidate our technology estate, revamp how we process and filter data, and overhaul the way data is accessed by our consumers, while continuing to onboard new datasets that enhance our strategies. We are a lean team owning end-to-end delivery from initial design through to operational support in production. We're seeking an individual who is passionate about technology, stays current with industry trends, follows engineering best practices, and is always looking for opportunities to improve systems, processes, and performance. Your experience: Required: 5+ years working as a Software Engineer or Data EngineerStrong expertise in PythonWell-versed in SQL and a good understanding of relational databasesConfident working with Linux and DockerAn excellent communicator, ability to communicate clearly with technical and non-technical colleaguesFinancial industry experience Desirable: JavadbtSnowflake or similar cloud data warehouseKafkaAWSIcebergApache FlinkFamiliar with major financial data vendor APIs Responsibilities: Developing ELT pipelines to ingest and transform datasets with Python, Snowflake and dbtBuilding a streaming platform to capture and aggregate large volumes of tick dataExtending internal libraries to provide unified access to our entire data catalogueSupporting our Java live data feedhandlersConsolidating legacy MATLAB systems onto our cloud-native technology stackWorking closely with quantitative developers, researchers and portfolio managers Company Benefits BonusPrivate pensionMedical InsuranceElectric car schemeFlexi-workingCycle to work schemeFamily Friendly Policies Interview Process Introductory VCTech test2 in person interviews with the businessOffer!