Tech Lead Data Engineer Porto

Tech Lead Data Engineer
Porto
Porto, Porto District, Portugal

Tech Lead – Cloud & Data Engineering (AWS-focused)

We are currently looking for an experienced Tech Lead to guide a
- impact data engineering team, with a strong emphasis on
- based architecture (primarily AWS) , scalable data solutions, and modern data pipeline orchestration.

This role is ideal for someone who thrives in technically complex environments, enjoys mentoring teams , and has a
- on mindset when it comes to cloud infrastructure, data pipelines, and architecture design. You will work closely with product stakeholders and engineers to turn business needs into technical deliverables and ensure the reliability, scalability, and maintainability of our data ecosystem.

Your Mission

As Tech Lead, your responsibilities will include:

Designing and overseeing the implementation of distributed data solutions hosted on AWS (and occasionally Azure), with a strong focus on modularity, performance, and
- efficiency.

Building and maintaining robust data ingestion and transformation pipelines using tools like AWS Glue , Lambda , Step Functions , and orchestration frameworks such as Apache Airflow .

Structuring databases and data models to optimize for performance and queryability, using relational engines such as Redshift , Postgre
SQL , and My
SQL , while also leveraging Athena for data lake querying.

Taking ownership of the technical strategy , ensuring alignment with business requirements and overall data architecture.

Driving production reliability , monitoring, and debugging using services like Cloud
Watch , X-Ray , and Cloud
Trail , promoting a proactive troubleshooting culture.

Mentoring and guiding a small team of data engineers, ensuring high standards in code quality, documentation, and deployment workflows.

Participating in the definition of technical specifications , reviewing requirements critically, and suggesting innovative and scalable alternatives.

Producing clear technical documentation and facilitating knowledge transfer across the team.

Tech Environment & Tools

You’ll work in a modern data environment, leveraging tools and frameworks including (but not limited to):

AWS services : Lambda, Glue, Step Functions, Cloud
Formation, Cloud
Watch, Cloud
Trail, Athena

Data orchestration : Apache Airflow, AWS Step Functions

Programming & Scripting : Python, SQL

Data storage : Redshift, Postgre
SQL, My
SQL, Amazon S3

Data modeling : Iceberg (experience with Iceberg or similar table formats is a big plus)

Monitoring & tracing : AWS X-Ray, custom logging solutions

Bonus tools : Azure Databricks, Kafka, Apache Flink (optional but appreciated)

What We’re Looking For

We’re searching for a candidate with:
- on experience in data engineering roles, with at least 2 years in a technical leadership or tech lead capacity.

Deep familiarity with AWS cloud platforms , including
-
- code principles, serverless architectures, and distributed systems.

Solid experience designing and optimizing ETL pipelines , working with big data volumes , and understanding the nuances of data consistency and ACID compliance .

Strong coding background in Python and excellent command of SQL for complex queries and performance tuning.

A good grasp of cloud networking concepts (VPCs, subnets, routing, security groups).

Ability to turn business logic into technical flows , split work among the team, and ensure delivery with high quality.

A collaborative,
- oriented mindset with the ability to challenge assumptions constructively.

Soft Skills & Working Style

We value:

A proactive attitude and willingness to take ownership of both technical challenges and team development.

Clear,
- adapted communication — both written and verbal.

Open-mindedness to new technologies and evolving methodologies.

A collaborative spirit that supports shared success across teams.

Nice to Have

Exposure to Azure-based environments (especially Azure Databricks)

Familiarity with
- time processing using Kafka or Apache Flink

Cloud certifications in AWS, Azure, or related technologies

Requirements

A genuine interest in data, infrastructure, and cloud technologies.

Strong analytical and
- solving capabilities.

Location: Porto's city center

Type: hybrid, with 3 days on site and 2 days on remote