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Senior Data Engineer
Company Description
Talan - Positive Innovation
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of 850M, we are committed to delivering impactful, future-ready solutions.
Talan at a Glance
Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, weve built a strong presence in the IT and consulting landscape, and were on track to reach 1 billion in revenue this year.
Our Core Areas of Expertise
- Data Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.
- Cloud Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
- Management Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.
We work with major global clients across diverse sectors, including Transport Logistics, Financial Services, Energy Utilities, Retail, and Media Telecommunications.
Job Description
We are looking for a highly skilled Senior Data Engineer with strong experience in designing, building, and maintaining scalable data solutions. The ideal candidate has a deep understanding of ETL processes, big data technologies, and modern analytics platforms, and is comfortable working in fast-paced, data-driven environments.
Key Responsibilities
- Design, develop, and optimize robust ETL pipelines to support data ingestion, transformation, and processing at scale.
- Build and maintain high-performance data models to support analytics, reporting, and data science initiatives.
- Work with large-scale distributed systems and data lake architectures (Apache Hive, AWS S3, etc.).
- Ensure data quality through strong validation practices and automated testing.
- Collaborate closely with cross-functional teams to deliver secure, clean, and reliable data to downstream consumers.
- Implement and maintain CI/CD pipelines and align code to static analysis tools such as Sonar or Fortify.
- Work with BI tools and platforms (Databricks, Power BI, Starburst, etc.) to enable effective data visualization and insights.
Required Experience Skills
- 5+ years of experience in implementing ETL pipelines.
- 3+ years of experience working with Apache Spark.
- 3+ years of hands-on experience with Scala programming.
- 2+ years of experience with BI tools (Databricks, Power BI, Starburst, or similar).
- Strong expertise in SQL and relational database systems.
- Experience designing and implementing data models for enterprise use cases.
- Familiarity with data lakes and cloud-based storage environments (Apache Hive, AWS S3).
- Strong background in data validation, unit testing, and best practices for code quality.
- Solid understanding of CI/CD principles and experience delivering high-quality code in production environments.
Qualifications
Additional Information
What do we offer you?
- Full-time contract.
- Smart Office Pack so that you can work comfortably from home.
- Training and career development.
- Benefits and perks such as private medical insurance, life insurance.
- Possibility to be part of a multicultural team and work on international projects.
- This is a remote position based in Málaga, Spain. Relocation is mandatory.
- Possibility to manage work-permits.
If you are passionate about development tech, we want to meet you
Talan Spains commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the companys Equality Plan and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).
ETL, Spark, Scala
