
Senior Data Engineer
Act Digitalover 1 year ago
Lisbon, PortugalSenior
Responsibilities
- Leverage large volumes of data from internal sources.
- Develop, maintain, and support data pipelines.
- Industrialize data feeds and build ETL, data warehousing, and data visualization solutions.
- Understand business needs and act as a point of contact for business stakeholders.
- Ensure data architecture meets business requirements.
- Recommend efficient ways to provide quality data and added value.
- Deliver data products through Tableau, Power BI, APIs, and chat bots.
- Communicate technical information to data analysts, product managers, business leaders, and other non-technical stakeholders.
- Prioritize and manage multiple projects while meeting deadlines and delivering high-quality results.
Requirements
- At least 3 years of professional experience in data engineering with a strong background in data architecture.
- Academic background in Engineering, Economics, Computing, Mathematics, Statistics, or a related field.
- Professional experience with a data visualization tool such as Tableau or Power BI.
- Professional experience in data analysis using programming, preferably Python with Pandas.
- Proficiency in SQL.
- Knowledge of descriptive statistics and hypothesis testing is a plus.
- Knowledge of PySpark, Presto, and Airflow is a plus.
- Knowledge of Power Query and DAX is a plus.
- Fluent written and spoken English.
- Strong analytical, synthesis, simplification, communication, interpersonal, organizational, and prioritization skills.
Benefits
- Hybrid or in-person work is available from the Lisbon or Porto office.
- The role is part of a multinational company operating in 12 countries, with projects across banking, insurance, transport, aviation, and energy.
About Act Digital
Act Digital is a global IT services and consulting group that designs and builds custom software, data, and cloud solutions for large enterprises. It provides end-to-end digital product services—strategy, UX, agile engineering, architecture, and data science—via project delivery and dedicated teams. The company is privately held, headquartered in Barueri, São Paulo, with offices across Brazil, North America, and Europe.