Lead Data Engineer

IRIUM Portugal; Lisboa; Presencial; EUR 50 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive compensation

Flexible pay options

Medical insurance

Unlimited access to technology training

Resumo da oferta

A technology company in Portugal is seeking a Lead Data Engineer to design and implement end-to-end data pipelines in cloud-native environments. The role involves leading engineering teams, optimizing solutions for performance and cost, and translating complex decisions for non-technical stakeholders. Candidates should have over 8 years in data engineering, be proficient in programming, and have strong communication skills. The position offers a hybrid work model with competitive compensation and access to technology training.

Qualificações

• 8+ years in data engineering with a focus on cloud-native solutions.
• B2 level English proficiency.
• Experience with data architecture including ingestion, modeling, and orchestration.

Responsabilidades

• Design and implement end-to-end data pipelines and architectures.
• Lead and mentor engineering teams.
• Drive continuous improvement of platform reliability and performance.

Conhecimentos

End-to-end data architecture and design

Cloud-native engineering (Microsoft Azure, AWS, Google Cloud)

Data warehousing and data lake solutions

Programming (Python, SQL, Spark)

RDBMS and NoSQL databases

DevOps/DataOps practices

Team leadership and mentoring

Technical communication

Descrição da oferta de emprego

Job Title

Lead Data Engineer

Responsibilities

Design and implement end‑to‑end data pipelines and architectures in cloud‑native environments, enabling data‑driven decision making and scalable analytics solutions. Lead and mentor engineering teams, translate complex technical decisions to non‑technical stakeholders, and drive continuous improvement of platform reliability, performance, and cost efficiency.

Qualifications

• Strong experience in end‑to‑end data architecture and design, including ingestion, modeling, storage, and orchestration (e.g., Medallion pattern).
• Proficiency in cloud‑native engineering with Microsoft technologies (Fabric, Azure Data Factory, Synapse), and familiarity with AWS or Google Cloud equivalents.
• Hands‑on experience with data warehousing and data lake solutions such as BigQuery, Azure Data Lake, Delta Lake, and Amazon Redshift.
• Expertise in programming languages: Python (Pandas, Boto3), SQL, or Spark.
• Strong knowledge of RDBMS (Oracle, MS SQL Server) and NoSQL databases (MongoDB, ElasticSearch, GBQ).
• Experience with DevOps/DataOps practices, including CI/CD pipelines and data validation, lineage, documentation, and monitoring at scale.
• Proven ability to optimize pipelines and storage solutions for performance, cost, and reliability.
• Experience leading teams with strong communication and technical leadership skills.

Soft Skills

• Ability to evaluate trade‑offs and make clear, defensible technical choices.
• Translate complex engineering decisions into clear, accurate explanations for non‑technical stakeholders.
• Uplift and mentor mid/ junior engineers, enforce standards, and foster a collaborative technical culture.
• Break down ambiguous, complex problems into actionable steps and drive them to resolution.
• Take responsibility for outcomes, anticipate issues, and drive long‑term platform evolution.

Experience

• Minimum 8 years in data engineering with a focus on cloud‑native solutions and data architecture.
• B2 level English proficiency.

Location

Lisbon, Braga, Coimbra – hybrid working model.

Benefits

Competitive compensation aligned with experience and performance; flexible pay options; medical insurance and social benefits; unlimited access to technology training.

Equal Opportunity Statement

At IRIUM we defend a world without stereotypes or limitations and we believe in equality for all, principles that we subscribe to in our Equality Plan and Code of Ethics, guaranteeing equal treatment and opportunities regardless of any personal, physical or social condition.