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SGG Research / Careers

Work with SGG Research.

Help build reliable research data and make complex ideas clear. Explore opportunities across data engineering and marketing.

2 open roles

Data & Engineering · Open role

Data Engineer

Location to be agreed · Remote / hybrid working

Help turn structured earnings-call observations into reliable research datasets. You will work across ingestion, participant networks, factor delivery and the operational systems that make historical and live evaluation reproducible.

Location and working arrangements

  • Location to be agreed, with a remote / hybrid way of working. Location options include London, Hamburg (Germany) and Canggu (Bali), with office use arranged with the team.
  • In-person meetings, workshops and events are arranged according to project needs. Location, timing and any travel requirements are agreed with the team.

What you will work on

  • Build and maintain Python pipelines for structured transcripts, market data and daily factor datasets, including incremental updates, corrections and historical backfills.
  • Model participant and company relationships; implement graph algorithms for traversal, connectivity, centrality and network evolution across observation windows.
  • Design PostgreSQL schemas, migrations, indexes and efficient queries. Work with graph databases and choose appropriate graph and relational representations for each workload.
  • Implement identity resolution, provenance, versioning and point-in-time joins so research uses only information available at the relevant decision time.
  • Operate authenticated data APIs and scheduled jobs with monitoring, retries, idempotency, rate limits and clear failure handling.
  • Develop validation checks and automated tests for data quality, historical reconstruction and reproducible portfolio evaluation.

What you should bring

  • Strong Python and SQL skills, including practical experience with data processing libraries such as pandas or Polars and working with large tabular datasets.
  • Hands-on PostgreSQL experience: data modelling, query planning, indexing, transactions and performance troubleshooting.
  • Experience with graph algorithms and a graph database such as Neo4j, including the ability to explain when a graph database is useful and when relational storage is sufficient.
  • Experience building API integrations and production data pipelines, with careful handling of timestamps, missing values, duplicate records and changing source data.
  • Confidence with Git, Linux, Docker, automated testing and deployment workflows; an understanding of access control and secure handling of credentials.
  • Clear technical communication and the ability to turn a research requirement into maintainable, documented software.

Useful additional experience

  • Financial market data, corporate actions, trading calendars, quantitative research or backtesting.
  • Text processing, NLP, speaker attribution or entity resolution for structured transcripts.
  • Node.js, cloud operations, data observability or browser-based graph visualisation.

Apply for this role

Send a short introduction, your CV or profile, and examples of relevant engineering work. Public repositories are welcome, but a concise description of non-public work is equally useful. Include your location, availability and preferred working arrangement.

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