Senior Data Engineer

• Designing, developing, and optimising scalable ETL/ELT pipelines, ensuring reliable data delivery from diverse sources such as APIs, transactional databases, and file based endpoints.
• Building and maintaining a robust Data Platform using tools like Airflow , dbt , and GCP services such as Cloud Functions, Cloud Run, and BigQuery.
• Collaborating with product and engineering teams to design data models and workflows that drive decision making and analytics across the company.
• Mentoring junior team members and championing best practices in data engineering, including code reviews, testing, and pipeline orchestration.
• Tackling technical debt by modernising outdated code and improving efficiency within the data stack.
• Implementing data governance policies, including standards for data quality, access controls, and classification., * Be part of a company that's leading innovation in FinTech, with ambitious plans for 2025 and beyond.
• Shape a brand new Engineering team and contribute to building a cutting edge Data Platform.
• Join an organisation that prioritises diversity, inclusion, and equity, fostering a supportive workplace culture.
• Work on high impact projects with the latest technologies in data and analytics.

This is an opportunity to work on cutting edge data driven solutions as part of a collaborative, distributed team. If you're a skilled Data Engineer with a passion for designing high quality systems and mentoring others, this could be the perfect role for you., * Extensive experience in Data Engineering or analytics engineering, with a track record of building and optimising complex pipelines in big data environments.

• Proficiency in Python and SQL for data transformation and manipulation.
• Strong knowledge of modern data stack tools, including Airflow , dbt , and cloud platforms like GCP or AWS .
• Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling.
• Clear and concise communication skills in English , with the ability to work effectively as part of a global, distributed team.
• Experience delivering data solutions using software engineering principles, including version control (GitHub), CI/CD pipelines, and containerisation (Docker).
• A proactive approach to problem-solving, with the ability to identify optimisation opportunities and drive continuous improvement.

Desirable Skills

• Experience with additional tools like Looker , MonteCarlo , or Hevodata .
• Prior experience in Financial Services or a similar industry.

intro Consulting Ltd are proud to represent this forward thinking FinTech client. We act as their trusted recruitment partner, connecting top talent with meaningful opportunities.