Senior Data Engineer

Talan; España; Remote; EUR 55,000 - 85,000; Full time

Job summary

Talan is seeking a skilled Data Engineer to help build and scale a modern data platform using Databricks. You will drive reusable development patterns and contribute to the core data codebase under the guidance of the Central Platform Team.

Remote-friendly role with full-time hours in the Spain time zone (CET/CEST) for a 9-month fixed-term contract. Strong experience with PySpark, SQL, Python, and Git workflows is essential, along with a passion for AI-assisted coding tools.

Qualifications

• Proven experience as a Data Engineer or Data Platform Engineer with Databricks.
• Strong PySpark, SQL, and Python within the Databricks ecosystem.
• Hands-on with IDEs (VS Code) and Git workflows (Git/GitHub).
• Familiarity with AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT for code).
• Experience implementing design patterns, reusable frameworks, and modular data pipelines.
• Strong communication skills for collaboration in a platform-guided environment.

Responsibilities

• Build and scale the data platform on Databricks.
• Establish reusable development patterns and modular pipelines.
• Collaborate with the Central Platform Team to advance the core codebase.
• Apply AI-assisted coding practices to improve development speed and quality.

Skills

Databricks

PySpark

SQL

Python

GitHub

AI tools

Data pipelines

Communication

Tools

Delta Lake

Unity Catalog

Medallion Architecture

GitHub Actions

Azure DevOps

Cloud platforms

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.

• 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).

• 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 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).

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.

Originally posted on Himalayas