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Location
In office (Poland)
Seniority
Staff

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 2, 2026. Link Group scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Link Group is a Polish technology services company founded in Warsaw in 2016 that builds and supplies engineering teams to clients across Europe. Its model combines body leasing and managed teams with delivery of complete software, cloud and cybersecurity projects, drawing on a large bench of contractors rather than a fixed permanent staff. The company works heavily in financial services, telecommunications and public sector projects, and has built a specialisation in blockchain and distributed ledger engineering alongside more conventional cloud and application development work.

Data Architect (Lead)

Key skills:

  • Enterprise Data Architecture,
  • Data Lakehouse architecture (Bronze / Silver / Gold patterns),
  • GCP architecture design,
  • BigQuery,
  • Data modelling (conceptual, logical, physical),
  • Data governance and data quality frameworks,
  • Financial Markets / Surveillance domain experience,
  • Integration architecture and data lineage,
  • Security and IAM concepts on GCP

Nice to have:

  • Market Abuse / Unauthorised Trading surveillance,
  • Vertex AI / ML platform awareness,
  • Regulatory reporting or compliance background

Project Description:

HSBC Surveillance GCP Foundation (UT / MARS)

The project focuses on building and validating a Google Cloud-based data platform for HSBC Surveillance. The initial scope covers the Unauthorised Trading (UT) use case and one selected Market Abuse scenario, with the goal of establishing reusable architecture and data patterns for future adoption. The team will design and implement Bronze, Silver and Gold data layers, build ingestion and transformation pipelines for selected surveillance data feeds, define common data elements, enrichments and data quality controls, and prepare analysis-ready datasets for downstream surveillance use cases. The project also includes an assessment of how selected Java-based MARS components could be migrated and hosted on GCP using Kubernetes (GKE). The primary focus is data platform engineering, cloud architecture and migration feasibility rather than production implementation. Full production migration, full surveillance platform replacement and model productionisation are explicitly out of scope.

Technology stack:

Google Cloud Platform (GCP), BigQuery, Dataflow / Apache Beam, Python, SQL, Java, Kubernetes (GKE), Terraform / CI/CD tooling

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