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We are seeking a talented Data Engineer to join our Client's team on a hybrid working model from Lisbon or Porto.

The ideal candidate has experience in delivering tailored data tools across the entire processing pipeline—Data Feeds, ETL, Warehousing, and Visualization. You will create high-quality data solutions, from pipelines to visualizations, while engaging with stakeholders to understand their needs, translate requirements, and ensure outputs meet expectations.

Key Responsibilities

• Develop and Optimize Data Pipelines: Construct efficient and scalable pipelines to process, transform, and integrate data.
• Automate Processes: Industrialize ETL and workflows for full automation to reduce manual intervention.
• Engage with Clients: Assess business needs, offer suitable solutions, and translate them into actionable data products.
• Build Visualization Solutions: Design and implement dashboards and tools for insights (e.g., Power BI).
• Enhance Data Offerings: Work alongside other Data Engineers to improve the Data Hub and extend the bank's data capabilities.
• Point of Contact: Act as the business’s go-to resource for data-related innovations, offering better ways to improve daily operations.

Required Skills

• Py Spark: Hands-on experience with Big Data processing.
• Power BI: Skilled in developing dashboards and visualization tools.
• SQL: Proficient in querying and managing relational databases.
• English: Expert-level communication skills, both written and verbal.

Why You’re a Perfect Fit

• You have demonstrated stability in your career, showing dedication and consistency in previous roles.
• Your ability to build, maintain, and enhance data pipelines is at the heart of what we're looking for.
• You thrive in a client-facing role, with strong communication skills to understand business needs and deliver tailored data solutions.

Why Join Us?

• Permanent Contract: Security in your career with an indefinite contract from day one.
• Health Insurance: Comprehensive coverage to ensure your well-being.
• Hybrid Work Model: Flexibility with a mix of remote and on-site work.
• Upskilling Opportunities: Access to Udemy Business for thousands of workshops and courses to grow your skills.
• Collaborative Team Culture: Join a dynamic, innovative, and success-driven work environment.

If you meet the above criteria and are ready for an exciting opportunity in a dynamic environment, submit your CV!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Information Services

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Data Engineer Power BI (+4 years of experience)

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