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 integral clients across diverse sectors, including Transport Logistics, Financial Services, Energy Utilities, Retail, and Media Telecommunications.
Job Description
We are looking for a skilled Data Engineer to help us build and scale our modern data platform. In this role,
you will work closely under the guidance of our Central Platform Team to build our Databricks engineering framework, establish reusable development patterns, and advance our core codebase.
If you are passionate about modern data engineering practices, AI-assisted development, and building scalable data solutions, wed love to have you on the team.
Qualifications
- Proven experience as a Data Engineer or Data Platform Engineer working with Databricks.
- Strong proficiency in PySpark, SQL, and Python within the Databricks ecosystem.
- Hands-on experience with modern IDEs (VS Code) and version control workflows (Git / GitHub).
- Familiarity or eager enthusiasm for using AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT for code).
- Experience implementing design patterns, reusable frameworks, and data pipeline modularization.
- Strong communication skills and the ability to work effectively in a collaborative, platform-guided environment.
Nice to Have
- Experience with Delta Lake, Unity Catalog, or Medallion Architecture (Bronze/Silver/Gold).
- Exposure to CI/CD pipelines for data engineering (e.g., GitHub Actions, Azure DevOps).
- Understanding of cloud platforms (AWS, Azure, or GCP).
Additional Information
- Work Location: 100 Remote.
- Working Hours: Ability to work full-time within the Spain time zone (CET/CEST)
- Workload: Full-time (40h/week)
- Contract Type: Temporary / Fixed-Term Contract - 9 months
If you are passionate about data, 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).
PySpark, SQL, Python
📌 Senior Data Engineer, 100% En remoto (España)
🏢 Talan
📍 España