Data Enginner - Lisbon

Data Enginner - Lisbon
Lisboa
Lisboa, Lisboa, Portugal

Job Overview

We are looking for a
- driven Data Engineer to join an interesting
- project environment focusing on designing, building,

and optimizing data pipelines, integrations, and analytical data structures. The role involves working with relational databases

such as Postgre
SQL, modern cloud data platforms like Snowflake, and reporting tools such as Qlik, with a strong focus on

reliable, scalable, and
- structured data solutions that support business insights and operational excellence.

Responsibilities and Duties

- Design, implement, and maintain scalable data pipelines, ETL/ELT processes, and integrations across multiple

systems;

- Develop, optimize, and maintain database structures, ensuring high data quality, performance, and availability;

- Work with business stakeholders and analysts to understand data needs and translate them into technical solutions;

- Support and evolve our data warehouse and reporting environments, particularly in Snowflake and Qlik;

- Ensure data consistency, accuracy, and integrity across systems and projects;

- Contribute to improving existing data flows, storage strategies, and analytical frameworks;

- Collaborate closely with data analysts, software developers, and other IT professionals in an agile environment.

What we need

- Strong experience with relational databases, particularly Postgre
SQL (advanced SQL, performance tuning, schema

design);

- Solid experience with Snowflake (data modelling, ELT patterns, performance optimization);

- Experience with Qlik (Qlik Sense or Qlik
View) for data modelling, dashboards, and reporting;

- Familiarity with data engineering concepts such as ETL/ELT pipelines, data lakes, and data warehouses;

- Experience working with scripting or
- purpose languages (e. g. , Python or Java is a plus);

- Comfortable working in Linux-based environments;

- Understanding of data governance, data quality, and metadata management;

- Strong data analysis skills and the ability to translate data into actionable insights;

- Excellent debugging, troubleshooting, and optimization techniques;

- Good time management skills;

- Sense of ownership and pride in your work and its impact on business success;

- Team player with strong communication and collaboration skills;

- Customer / User Centric way of working.