Senior Data Engineer

hace 1 mes

Quito Talan Full time

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, we've built a strong presence in the IT and consulting landscape, and we're 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.

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 Spain's commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company's "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).

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