Senior/Lead Data Engineer

Connect Digital; Lisboa; Híbrido; EUR 30 000 - 35 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible benefits package

Extra day off on your birthday

Additional year-end days off

Resumo da oferta

Connect Digital in Lisbon is seeking a Senior/Lead Data Engineer to design and evolve end-to-end data architectures for cloud-native solutions. Hybrid role with two on-site days per week and three remote days, based in Lisbon, Portugal.

You will own data pipelines, governance, and platform reliability while mentoring mid-level and junior engineers. Ideal candidates have 5+ years in data engineering, strong SQL/Python skills, and hands-on experience with Azure Fabric, Synapse, Data Factory, and

Qualificações

• 5+ years of professional experience in Data Engineering or similar role.

Responsabilidades

• Design and evolve end-to-end data architectures covering ingestion, modelling, storage, and orchestration.

Conhecimentos

Data architecture

Cloud data

Python

SQL

Spark

Azure

BigQuery

Data governance

CI/CD

Mentoring

Ferramentas

Azure Data Factory

Azure Synapse

Microsoft Fabric

BigQuery

Delta Lake

MongoDB

Elasticsearch

SQL Server

Boto3

Descrição da oferta de emprego

We are looking for a Senior/Lead Data Engineer with at least five years of experience and a strong focus on cloud-native solutions, data architecture, and scalable data platforms.

This is a hybrid role based in Lisbon, requiring two days per week on-site and three days working remotely. You will design and evolve end-to-end data solutions covering ingestion, modelling, storage, orchestration, governance, and monitoring. The role also involves making key technical decisions, improving platform performance and reliability, and supporting the development of mid-level and junior engineers.

5+ years

Full Time Hybrid

Lisbon (Portugal)

Salary Range*

Job No. 841

Key Responsibilities

• Design and evolve end-to-end data architectures covering ingestion, modelling, storage, and orchestration.
• Build scalable cloud-native data solutions using Microsoft technologies or comparable services from other cloud providers.
• Develop and optimise data pipelines, data warehousing solutions, and data lake environments.
• Define technical standards and promote strong DataOps and engineering practices.
• Implement data validation, lineage, documentation, monitoring, and governance at scale.
• Optimise pipelines and storage solutions for performance, cost efficiency, and reliability.
• Evaluate architectural trade-offs and make clear, defensible technical decisions.
• Translate complex engineering decisions into clear explanations for technical and non-technical stakeholders.
• Mentor mid-level and junior engineers and support the adoption of engineering standards.
• Break down complex or ambiguous requirements into clear, actionable technical plans.
• Anticipate operational and architectural risks and contribute to the long-term evolution of the data platform.

Knowledge, Skills and Experience

• 5+ years of professional experience in Data Engineering or a similar role.
• Strong experience in end-to-end data architecture and design, including ingestion, modelling, storage, and orchestration.
• Knowledge of architectural approaches such as Medallion Architecture.
• Strong experience with cloud-native data engineering.
• Experience with Microsoft Fabric, Azure Data Factory, or Azure Synapse.
• Experience with comparable data services in AWS or Google Cloud is also relevant.
• Hands-on experience with data warehousing and data lake solutions such as BigQuery, Azure Data Lake, Delta Lake, or Amazon Redshift.
• Proficiency in Python, SQL, or Spark.
• Experience with Python data libraries and tools such as Pandas or Boto3.
• Strong knowledge of relational database management systems such as Oracle or Microsoft SQL Server.
• Experience with NoSQL or analytical databases such as MongoDB, Elasticsearch, or Google BigQuery.
• Experience with DevOps and DataOps practices, including CI/CD pipelines.
• Ability to implement data validation, lineage, documentation, and monitoring at scale.
• Proven ability to optimise pipelines and storage solutions for performance, cost, and reliability.

Leadership and Collaboration Skills

• Ability to evaluate trade-offs and make well-supported technical decisions.
• Ability to explain complex engineering topics clearly to non-technical stakeholders.
• Experience mentoring mid-level and junior engineers.
• Ability to promote standards and foster a collaborative technical culture.
• Strong problem-solving skills and the ability to turn ambiguity into clear, actionable steps.
• Ownership mindset, with the ability to anticipate issues and drive long-term platform improvements.

What We Offer

• A dynamic, international project environment with high visibility and technical challenges.
• Opportunities for continuous learning and professional development.
• A relaxed, growth-oriented culture where your ideas and contributions matter.
• The opportunity to work with a modern technology stack and industry best practices.

Salary & Benefits

• Gross annual salary: €30,000–€35,000*, depending on experience and suitability for the role.
• Flexible benefits package.
• Extra day off on your birthday.
• One additional day off on either 24 December or 31 December.

posted July 20, 2026

*Salary ranges shown are indicative. Final compensation is determined by experience, seniority, profile fit, and the scope of responsibilities involved.