Data Engineer [remote from EU]

FCamara is working closely with a UK bank, offering lending and savings products. In this context, we are looking for someone with experience in the banking/financial industry, energy, a sense of responsibility, and motivation to take on the role of Senior Data Engineer, as part of one of the initiatives we are running with this client.

FCamara is one of the fastest-growing technology and innovation groups in Latin America, and we have been present in Portugal since 2021.

We operate across different areas, such as Unified Commerce, Application Development, AI (of course), and Cybersecurity, with more than 1,700 professionals distributed across 12 companies in Brazil, Portugal, and the United Kingdom — through projects, managed services, squads, and staff augmentation.

Portugal is our service hub for the Northern Hemisphere. From here, our team serves clients in Portugal, the European Union, the United Kingdom, and the United States.

In Europe, in addition to the FCamara brand as a technology services provider, we are also the main investor and shareholder of Beta-i, a benchmark in the field of open and collaborative innovation.

At FCamara, the members of our consulting and services teams, whom we proudly call Orange Blood, find a space to grow and develop skills. We work on challenging initiatives with real impact, creating the conditions for a genuine professional leap forward.

This is a Data Engineer role embedded within a cross-functional product squad, where data is treated as a product, not a service. You’ll work closely with Product Managers, engineers, and business stakeholders to shape how data supports customer experiences, decision-making, and growth.

Alongside building reliable, scalable data pipelines, you’ll help define metrics, translate product needs into data models, and ensure data is accessible, trusted, and actionable. This role is ideal for someone who enjoys combining technical depth with strong collaboration and a sense of ownership over outcomes

We operate an Azure-focused technology stack, leveraging Azure Data Factory and SQL databases to build out data warehouse. To build the data warehouse to generate business value, you will collaborate with cross-functional squads and work closely with stakeholders to define data requirements, deliver solutions, and uphold best practices.

Key Responsibilities:

• Partner with Product Owners and stakeholders to translate business and product requirements into well-defined data models, pipelines, and metrics

• Design and develop scalable data pipelines, leveraging Azure Data Factory and other Azure-native tools.

• Own the data layer within your product area, ensuring data is reliable, well-modelled, and fit for decision-making and product use cases

• Collaborate with team members to optimise data architecture, ensuring high performance and reliability.

• Work with stakeholders to gather and refine data requirements, delivering solutions that align with business priorities.

• Implement and maintain version control practices (e.g., Git), facilitating collaboration and ensuring code quality.

• Maintain clear and comprehensive documentation of data workflows and processes.

• Coordinate task progress using Jira, tracking and prioritising workload while working with cross-functional teams.

• Contribute to the development and enforcement of data engineering standards, best practices, and documentation processes.

• Actively participate in squad rituals (planning, refinement, retrospectives), contributing to prioritisation and delivery decisions

• Assist in monitoring, troubleshooting, and improving data pipelines and ETL processes to support continuous improvement efforts.

• Stay up-to-date with industry trends and technologies to drive continuous improvement.

• At least 5 years as a Data Engineer with proven expertise in Azure data tools, particularly Azure Data Factory.

• Proficiency in SQL, Python, and data engineering frameworks.

• Solid understanding of data modelling (e.g. dimensional modelling, warehouse design, OLAP vs OLTP).

• Strong understanding of cloud platforms, preferably Azure, and familiarity with Azure-based data storage and processing solutions.

• Knowledge of data warehousing concepts, ETL/ELT practices, and data modelling techniques.

• Previous experience working within Financial Services, specifically for Savings or Lending Products.

• Ability to solve complex data-related challenges and work independently on large data projects.

• Strong communication skills to work effectively with stakeholders and technical teams.

• Comfortable working within a cross-functional team and contributing to shared outcomes, not just individual deliverables.

• Experience working within product squads, where they are embedded into delivering product outcomes.

• Fluency in English

Informações adicionais

Working Arrangements

• This is a fully remote position.

• This role follows the client's working hours, aligned with the UK time zone.

• This is a contractor position.

• We value and consider candidates of any nationality; however, to be eligible for this role, candidates must hold a valid work permit for an EU country.

Originally posted on Himalayas