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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...
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 Data Engineer to join our team and contribute to the design, development, and optimization of data-driven financial solutions. The ideal candidate will bring strong technical expertise, a collaborative mindset, and the ability to adapt in a dynamic environment.

Key Responsibilities
- Develop and maintain robust data pipelines and scalable processing solutions using PySpark, Python, and SQL.
- Work with AWS services (Glue, EMR, Lambda, Athena, S3, VPC, EC2) to build and deploy cloud-based data workflows.
- Collaborate with cross-functional teams to support financial systems and ensure data accuracy and performance.
- Participate in infrastructure design, contributing to the implementation of new AWS components and pipelines.
- Troubleshoot, optimize, and monitor existing processes to ensure reliability and efficiency.
- Support stakeholders by providing clean, reliable, and well-structured financial data solutions.

Qualifications

Required Technical Skills
- Advanced experience with:
- PySpark
- Python
- SQL
- AWS Services: Glue, EMR, Lambda, Athena, S3, VPC, EC2

Nice-to-Have Skills
- Experience with Qlik Sense
- Knowledge of pipeline creation and deployment of new infrastructure on AWS
- Java programming
- Experience with Pandas

Soft Skills
- Strong team player with great collaboration abilities
- Proactive and solution-oriented mindset
- High level of commitment and ownership
- Ability to adapt quickly to new challenges and environments
- English: Minimum B2 level, with strong listening comprehension

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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