Data Engineering Tech Lead

Porto, Portugal

Keyrus

Keyrus is a global consultancy that specializes in developing innovative data and digital technology solutions for performance management. We help companies like yours get the most value possible from their data while optimizing their digital...

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Empowered by our motto, "Making Data Matter", Keyrus stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation. With a presence in 27 countries across 4 continents, we're on a mission to elevate the impact of data.

We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery.

With more than 3200 employees in all corners of the world, Keyrus is dedicated to helping businesses taking advantage of the Data and Digital paradigm to enhance their performance, facilitating, and accelerating their transformation, and generating new drivers of growth, competitiveness, and sustainability.

Job Summary 

Keyrus' client is building a next-generation, scalable data platform across AWS (and Azure) to power core business intelligence and analytics needs. As part of this initiative, we are seeking a hands-on Tech Lead to drive the architectural and technical implementation of high-volume data solutions. You will lead the design, development, and operationalisation of data workflows, aligning with strategic cloud infrastructure and business requirements.

This position is Hybrid in Porto. 

Note: All applications/CV’s must be submitted in English.


Key Responsibilities

  • Design and implement scalable and secure data solutions using AWS services like Lambda, Glue, Step Functions, and CloudFormation.
  • Lead end-to-end data architecture and design processes considering performance, scalability, cost, and security.
  • Develop and optimise ETL/ELT pipelines, data lakes, and integrations into Redshift, MySQL, and PostgreSQL.
  • Guide data modelling, orchestration (Airflow, Step Functions), and workflow automation efforts.
  • Manage cloud infrastructure, including VPCs, subnets, routing, and IAM policies.
  • Provide hands-on coding in Python and SQL, including query tuning and performance optimisation.
  • Utilise Iceberg tables and Athena for large-scale data analysis in Amazon S3.
  • Set up observability tools (CloudWatch, CloudTrail, X-Ray) for monitoring and troubleshooting.
  • Lead sprint planning, task allocation, and code reviews while mentoring team members.
  • Write detailed solution architecture documents and provide technical recommendations.
  • Collaborate with business teams to challenge requirements and translate them into technical plans.


Requirements for the role 

  • 7+ years in data engineering, with 2–3 years as a technical/solution architect or Tech Lead.
  • Deep hands-on experience with AWS services: Lambda, Glue, Step Functions, CloudFormation, CloudWatch, Athena.
  • Solid background in Python programming and SQL query development and tuning.
  • Strong understanding of cloud infrastructure & networking: VPC, security groups, routing.
  • Proven experience with ETL processes and data pipeline orchestration (Apache Airflow, AWS Step Functions).
  • Proficiency with RDBMS (PostgreSQL, MySQL, Redshift) and data modelling.
  • Experience working with large-scale datasets and formats like Iceberg tables (preferred).
  • Good understanding of Kafka and real-time data pipelines is a plus.
  • Familiarity with Azure Databricks is a nice-to-have.
  • Leadership experience.
  • Fluent in English
  • Must be a Portuguese or European citizen or have a work permit for Portugal

 

What we offer at Keyrus Portugal:

  • Competitive salary based on your skills & experience and according to the Data market practice
  • Meal allowance of €8.32 per day
  • Flexible benefits option
  • Private Medical Insurance
  • 22 days of annual leave (increasing every 3 years up to a maximum of 25 days)
  • Training Program through KLX (Keyrus Learning Experience) Platform


Why Keyrus?

Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience.

Keyrus Portugal operates on five guiding pillars that shape our approach to work and collaboration – Diversity; Trust; Flexibility; Ownership & Innovation - we're dedicated to cultivating a team as diverse as the challenges we take on. 

We embrace and celebrate the rich variety of backgrounds, perspectives, and talents that each individual brings. We firmly believe that diversity fuels innovation, ignites creativity, and propels us towards greatness. 

Regardless of race, ethnicity, gender, sexual orientation, disability, age, or any other dimension of diversity, everyone is not only welcome but valued here. 

Join us in shaping a future where everyone can thrive!

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Airflow Architecture Athena AWS Azure Business Intelligence CloudFormation Data analysis Databricks Data governance Data pipelines ELT Engineering ETL Kafka Lambda Machine Learning MySQL Pipelines PostgreSQL Python RDBMS Redshift Security SQL Step Functions

Perks/benefits: Career development Competitive pay Flex hours Health care Insurance Medical leave

Region: Europe
Country: Portugal

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