Senior Data Engineer

About Consort Group

Every moment counts. Welcome to Consort Group. For over 30 years, Consort Group has helped companies leverage their data and infrastructure. Backed by Consortis and Consortia, we place people and social responsibility at the heart of our values.

About Consort Portugal

Established in 2021, Consort Portugal supports the strategic offshoring choices of our clients, particularly in Europe, and brings our expertise in infrastructure services to the Portuguese market. With a team of around 45 employees, our Service Center based in Porto is developing a dynamic nearshore business, offering the French and European markets an environment of excellence and high potential.

Senior Data Engineer

Are you passionate about data engineering and building scalable data solutions? Then this position is for you.

Responsibilities

• Build Side:
  • Design, develop, and maintain highly scalable and performant data pipelines
  • Implement robust ETL/ELT processes in cloud or on‑prem environments
  • Build efficient data models that support analytical and business needs
  • Apply engineering best practices, including CI/CD, testing, version control, and code quality
  • Automate end‑to‑end deployment processes to improve delivery speed and reliability
  • Participate in code reviews and contribute to engineering standards
  • Collaborate with data analysts, data engineers, and business stakeholders to translate requirements into technical solutions
  • Integrate new data sources while ensuring data quality, lineage, and governance
  • Contribute to architecture discussions and technological decisions for the data platform
• Run Side:
  • Monitor daily ETL/ELT jobs and ensure timely resolution of incidents
  • Optimize pipeline performance and address operational bottlenecks
  • Coordinate actions with production and functional support teams
  • Ensure data availability, stability, and quality for end users
  • Document data flows, operational procedures, and runbooks
  • Manage the release lifecycle across multiple environments (dev, test, prod)
  • Ensure compliance with security and data governance standards
  • Identify continuous improvement opportunities to enhance operational efficiency

Background & Experience

You have at least 3–5 years of experience in demanding data engineering or data platform environments. You enjoy solving complex problems, exploring data, and building scalable solutions. Your ideas matter and technology and collaboration go hand in hand. You also have 3–5 years of experience in challenging engineering, analytics, data operations, or software development environments, and you thrive on building efficient pipelines, automating processes, and working with large‑scale datasets. You are looking for a company where you can grow, take ownership, and contribute to a modern data architecture.

Technical Expertise

• Strong command of SQL and experience with relational databases / data warehouses
• Python applied to data processing and automation
• Linux tools and Agile / Dev
  Ops ways of working (CI/CD, Git, Jenkins, Git
  Lab CI, etc. )
• Hands‑on experience with ETL/ELT pipelines and workflow orchestration (Airflow, Prefect, Luigi, etc. )
• Experience with cloud environments (AWS / Azure / GCP) is a plus
• Familiarity with monitoring and observability tools (Datadog, Grafana, Cloud
  Watch, etc. )
• Deep understanding of the software development lifecycle and production best practices

Team Collaboration

• Excellent problem‑solving and critical‑thinking skills
• Strong written and verbal communication, able to explain complex concepts to both technical and non‑technical audiences
• Ability to work effectively in cross‑functional teams
• Proactive, responsible, and autonomous work style
• Curiosity, continuous‑improvement mindset, and eagerness to learn

Commitment

• Attentive and human onboarding
• A truly hands‑on management style
• Continuous training opportunities
• Concrete commitments: inclusion, equality, solidarity
• A comprehensive HR package: health insurance, TR card, CSE, pension plan
• A culture of feedback and meaningful projects

Recruitment Process

• An initial phone call with our recruitment team
• An HR interview and a job interview with a business engineer
• A test or technical interview with one of our experts
• A final meeting with your future manager or project manager
• And if we’re a good fit, we’ll get started together

Location and Employment

Location: Lisbon or Porto

Contract: Permanent

Remote work: Twice a week at client’s premises

Job category: Data Engineering / Data Platforms

What you will do here, you won't do anywhere else. This moment is yours.