Data Engineer (Relocation to Spain) at Talan

Quito, , Ecuador -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

PySpark, Python, SQL, AWS Services, Data Pipelines, Data Solutions, Collaboration, Troubleshooting, Optimization, Financial Data, Proactive Mindset, Adaptability, Team Player, Listening Comprehension, Infrastructure Design, Cloud Workflows

Industry

IT Services and IT Consulting

Description

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).

Responsibilities

Develop and maintain robust data pipelines and scalable processing solutions. Collaborate with cross-functional teams to support financial systems and ensure data accuracy and performance.