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Data Engineer

SteelEye

Oferta Full-time
Tecnologia Braga, pt €1 100 - €2 165/mês mercado Posted 9 hours ago
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06/03/2026
Há 9 hours ago

Description

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SteelEye is a fast moving RegTech (Regulatory Technology) start-up that is helping financial companies (e.g. banks, investment firms, brokers, hedge funds, and asset managers) meet their obligations under various global financial regulations.

Our work enhances financial compliance, prevents market abuse, and promotes trust in the financial markets.

Our people are passionate about leveraging data and technology to make this happen.

As a Data Integration Engineer, you’ll build and maintain Comms and Trades data ETLs—transforming raw client data into validated, searchable datasets that power the SteelEye platform.

You’ll deliver scoped integration work with regular guidance, collaborating closely with Engineering, Product, and internal integration stakeholders to ensure data arrives reliably and meets our schemas and quality standards.

Key responsibilities:

Build and maintain ETL/ET+L pipelines for communications and trades datasets, following established patterns and frameworks

Transform and validate incoming data to meet customer requirements and SteelEye’s internal data models/schemas

Develop in Python, using common data libraries (e.g., Pandas/Numpy) where appropriate

Implement and evolve Pydantic schemas and data mappings, ensuring consistency and testability

Orchestrate and Experience with other orchestrating frameworks such as Prefect, Temporal or Airflow is also valued.

Contribute to code reviews, improve code quality, and write clear technical documentation

Work cross-functionally with Product and other engineering teams to clarify requirements and resolve data issues

Troubleshoot ingestion issues and data quality problems; propose small, practical improvements

Use Jira/Confluence to manage work transparently and communicate progress and blockers early

Requirements

2–3+ years of relevant experience in a Python engineering / data engineering role

Strong Python fundamentals (clean, testable code; debugging; working with structured/unstructured data)

Comfortable working with schemas/validation (Pydantic ideal)

Familiarity with cloud and container tooling (AWS, Docker, Kubernetes)

Strong written and verbal communication; able to collaborate effectively across teams

Interview Process: The interview process is structured to assess candidates thoroughly across various competencies and skills relevant to the role.

Here's a description of each stage:

CV Review

Intro call with Human Resources Business Partner

First Stage Overview Interview with our Data Engineers

Final Interview with our Head of Data Engineering

Apply directly via: https://careers.steel-eye.com/jobs/7278917-data-engineer

Weather on start day

Saturday, 7 de March — Partly cloudy · Max 16° · Min 4° · Rain 3% (0mm) · Wind 6 km/h

Previsão para os dias seguintes

  • Sun, 8 Mar
    Showers
    Max 16° · Min 5°
  • Mon, 9 Mar
    Showers
    Max 10° · Min 5°
  • Tue, 10 Mar
    —
    Max 15° · Min 2°
  • Wed, 11 Mar
    Rain
    Max 13° · Min 6°

Detalhes

Listing type
Job Offer
Schedule Type
Full-time
Category
Tecnologia
Status
—
Location
Braga, pt
Start
06/03/2026
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Salário de Mercado

€1 100 - €2 165/mês