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Capco

Data Engineer

Posted 5 Hours Ago
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Hybrid
Milan
Mid level
Hybrid
Milan
Mid level
Design, build, and maintain scalable data pipelines and integrations on cloud platforms for financial-services clients. Collect, process, transform large structured and unstructured datasets, support ETL/ELT automation, ensure data quality and governance, and prepare datasets for reporting and analytics while collaborating with technical and business stakeholders.
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Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

About Capco

Capco is a global technology and business consultancy, focused on the financial services sector. We are growing at fast pace in our Italian office, the opportunity for growth is large, accessible, and immediate. We are passionate about helping our clients succeed in an ever-changing industry. Capco is going through a significant growth journey, now is a very good time to join us as we expand our consulting team in Italy.

Role Description:

As part of the consulting team, the Data Engineer will:

  • Interact with Cloud infrastructures, integrating multiple Cloud tools, and understanding their dependencies and limitations
  • Design, develop, and manage data pipelines and data integration processes for Financial Services clients
  • Support the implementation and maintenance of scalable data architectures to ensure data quality, consistency, and reliability
  • Collect, process, and transform large volumes of structured and unstructured data from multiple sources
  • Collaborate with technical and business stakeholders to translate business requirements into data-driven solutions
  • Contribute to the optimization and automation of data workflows and ETL/ELT processes
  • Monitor and troubleshoot data pipelines, ensuring performance, accuracy, and operational efficiency
  • Support data governance and data quality initiatives, ensuring compliance with internal standards and regulatory requirements
  • Prepare datasets and support reporting and analytics activities to enable business decision-making
  • Work closely with cross-functional teams in dynamic and client-oriented environments
  • Contribute to continuous improvement initiatives and innovation projects within the data and analytics domain

Skills and Experience 

To qualify for the role you must have:

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or related fields
  • 2–5 years of experience in Data Engineering, Data Management, or Data & Analytics environments
  • Experience in designing and managing data pipelines and ETL/ELT processes
  • Knowledge of relational databases and SQL querying
  • Familiarity with data warehousing concepts and data modeling techniques
  • Experience working with cloud platforms and modern data architectures
  • Strong analytical and problem-solving skills
  • Ability to work effectively with both technical and business stakeholders
  • Proficiency in Microsoft Office 365 tools
  • Good knowledge of English, both written and spoke

Nice to have:

  • Previous experience in Financial Services or consulting environments
  • Knowledge of big data technologies and distributed data processing frameworks
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud
  • Familiarity with data visualization and reporting tools (e.g. Power BI, Tableau)
  • Experience with PySpark, Databricks, DataFactory
  • Understanding of data governance and data quality frameworks
  • Relevant certifications in cloud or data technologies

Why join Capco?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

  • Comprehensive health benefit coverage
  • Meal Vouchers
  • Welfare allowance
  • Access to internal and Tier 1 learning platforms

In Capco you will also find:

  • A work culture focused on innovation and building lasting value for our clients and employees
  • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
  • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
  • A diverse, inclusive, meritocratic culture

Pay Transparency

Capco is committed to providing fair and equitable compensation to our people. Our compensation policies are designed to allow our people to progress through our defined salary range over time as they progress in their role.

The minimum gross annual base salary for this position is from €29.000. The final offer could be higher to reflect the candidate’s experience, skills, and overall fit for the role. Additionally, this position may also be eligible to receive a discretionary/variable bonus payment.

Location: Piazza Gae Aulenti 1, Milano (Garibaldi FS - Garibaldi M2 M5) 

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HQ

Capco London, England Office

77-79 Great Eastern Street, London, United Kingdom, EC2A 3HU,

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