Senior/Lead Data Engineer

emagine; Lisboa; Híbrido; EUR 50 000 - 70 000; Tempo integral

Resumo da oferta

A leading technology consultancy is seeking a Senior/Lead Data Engineer in Lisbon. The ideal candidate will have over 5 years of experience in data engineering, specializing in cloud-native solutions and architecture. Responsibilities include implementing high-performance data solutions and mentoring junior engineers. English proficiency at B2 level is required. Work model includes 2 days in the office and 3 days remote, offering a balanced work environment.

Qualificações

• Minimum 5 years of experience in data engineering with cloud-native solutions.
• B2 level English proficiency.
• Ability to mentor mid/junior engineers.

Responsabilidades

• Implement and optimize high-performance data solutions.
• Drive data-driven decision-making within the organization.
• Collaborate with teams to ensure scalable analytics solutions.

Conhecimentos

Data architecture and design

Cloud-native engineering (Microsoft technologies)

Data warehousing and data lake solutions

Python programming

SQL

DevOps/DataOps practices

NoSQL databases

Descrição da oferta de emprego

Overview

We are seeking a skilled Senior / Lead Data Engineer with expertise in cloud-native data pipeline development within Microsoft environments. The ideal candidate will have a strong background in data architecture, data modelling, and the ability to implement high-performance data solutions that support our business objectives. You will play a key role in driving data-driven decision-making and enabling scalable analytics solutions across the organization.

Required Qualifications

to be successful for both roles (Senior/Lead profiles):

• Technical Skills:
  • Strong experience in end-to-end data architecture and design, including ingestion, modeling, storage, and orchestration (e.g., Medallion).
  • Proficiency in cloud-native engineering, with a focus on Microsoft technologies (Fabric, Azure Data Factory, Synapse) but open to other cloud platforms (AWS, Google Cloud) with comparable tools.
  • Hands-on experience with data warehousing and data lake solutions (e.g., BigQuery, Azure Data Lake, Delta Lake, Amazon Redshift).
  • Proficiency in programming languages such as Python (with data-related libraries: Pandas, Boto3), SQL, or Spark.
  • Strong knowledge of RDBMS (e.g., Oracle, MS SQL Server) or NoSQL databases (e.g., MongoDB, ElasticSearch, GBQ).
  • Experience with DevOps/DataOps practices, including CI/CD pipelines.
  • Ability to implement data validation, lineage, documentation, and monitoring at scale.
  • Proven ability to optimize pipelines and storage solutions for performance, cost, and reliability.
• 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 clear, actionable steps and drive them to resolution.
  • Take responsibility for outcomes, anticipate issues, and drive long-term platform evolution.
• Experience:
  • Minimum 5 years of experience in data engineering, with a focus on cloud-native solutions and data architecture.
  • English proficiency should be at least B2 level.

We want to remind you that it is crucial to validate the following points before sharing any candidate:

• Work model: 2 days per week in the office and 3 days at home.