Senior Data Engineer
Málaga, AN, Spain
- Work setup
Remote stated · location limits — work setup source
Additional Information Work Location: 100% Remote within SPAIN. Working Hours: Ability to work full-time within the UK time zone
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Tools in this posting
- python
- sql
- aws
- azure
- databricks
- delta
Source — Tool mentions in context
- 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).
- Exposure to CI/CD pipelines for data engineering (e.g., GitHub Actions, Azure DevOps). - Understanding of cloud platforms (AWS, Azure, or GCP). Additional Information
- 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.
- 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).
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, we’d 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.
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).
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- Location & working pattern
Málaga, AN, Spain
Additional Information - Work Location: 100% Remote within SPAIN. - Working Hours: Ability to work full-time within the UK time zone
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Posting history
- Status in our records
- Active
- First seen by us
- Sep 10, 2026
- Recorded sightings
- 1
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Job description
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, we’d 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 within SPAIN.
- Working Hours: Ability to work full-time within the UK time zone
- 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 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).
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.