Senior Data Engineer

Jobtailor; Matosinhos; Presencial; EUR 45 000 - 75 000; Tempo integral

Resumo da oferta

Jobtailor is seeking a data engineer to design, build and optimize scalable data pipelines and analytics infrastructure. You will combine data from multiple sources, implement ETL processes, and ensure data quality for analysts and product teams.

The role requires strong Python, SQL and orchestration skills, plus experience with cloud data platforms. You will collaborate with stakeholders to translate business needs into reliable data solutions.

Qualificações

• Degree in Computer Science, IT or similar; Master’s is a plus.
• Proven experience as a Data Engineer or similar role.
• Proficiency in Python (OOP, tests, APIs).
• Strong ETL, data modelling and SQL with orchestration tools.
• Experience with Airflow, GitHub, and cloud services (AWS/Heroku).
• Analytical mindset, clear communicator, and fast learner.

Responsabilidades

• Combine raw data from multiple sources into consistent, machine-readable formats.
• Design, build and maintain data systems and ETL pipelines.
• Monitor, test and optimise data flows.
• Analyse large datasets to uncover trends and insights.
• Translate business needs into data solutions.
• Collaborate with analysts and product managers on cross-functional projects.
• Monitor cost and efficiency of data infrastructure.

Conhecimentos

Python programming

ETL design

Data modelling

SQL

Analytical mindset

Stakeholder communication

Time management

Formação académica

Bachelor’s degree in Computer Science or related

Master’s degree is a plus

Ferramentas

Airflow

GitHub

dbt

AWS

Heroku

Redshift

BigQuery

Snowflake

Descrição da oferta de emprego

Responsibilities

• Combine raw data from multiple sources into consistent and machine-readable formats,
• Design, build and maintain data systems and ETL pipelines;
• Monitor, test and optimise data flows;
• Analyse large datasets and uncover meaningful trends and insights;
• Evaluate business needs and translate them into data solutions;
• Explore ways to improve data quality, accessibility and reliability;
• Develop and maintain analytical tools and reporting frameworks;
• Collaborate with analysts, product managers and other stakeholders on cross-functional projects;
• Monitor the cost and efficiency of data infrastructure.

Requirements

• Degree in Computer Science, IT or similar (Master’s is a plus);
• Proven experience as a Data Engineer or in a similar role;
• Proficiency in Python (OOP, unit testing, APIs, etc.);
• Solid understanding of ETL processes and data modelling;
• Experience with SQL and orchestration tools (e.g. Airflow);
• Experience with columnar databases (Redshift, BigQuery, Snowflake);
• Experience with version control (e.g. GitHub);
• Experience with dbt and cloud services (AWS, Heroku) is a plus;
• Strong analytical and problem-solving mindset;
• Ability to communicate technical concepts to non-technical stakeholders;
• Excellent time management and task prioritisation;
• Team-oriented, curious and eager to learn.

Core Competencies

Proficient in designing and maintaining data systems and ETL pipelines, with strong analytical skills to evaluate business needs and translate them into effective data solutions. Experienced in collaborating with cross‑functional teams to enhance data quality and optimise data infrastructure.