Join a fast-growing FinTech that is redefining the industry with a fully cloud-native approach
As a Senior Data Engineer, you will play a pivotal role in shaping the company's data infrastructure, driving business-critical decisions, and enabling scalable, high-performance solutions across the entire organization.
This is an opportunity to be at the forefront of the company's expansion, ensuring that data is seamlessly integrated and optimized for analytics, decision-making, and innovation.
If you are an expert in Azure, Databricks, and PySpark, and want to make a significant impact in a forward-thinking company, this role is for you
You will:
Lead the development of scalable data pipelines using Databricks, PySpark, and SQL .
Be a key player, providing vital data solutions to teams across the organization.
Architect and optimize data lakes to support advanced analytics and regulatory compliance.
Collaborate with international teams to ensure seamless data integration and drive business insights.
Solve complex data challenges in a fast-paced, highly regulated environment.
Skills / Experience: 10+ years of experience as a Senior Data Engineer .
Deep expertise in Azure, Databricks, and PySpark .
Proven experience designing and optimizing data lakes for large-scale analytics .
Strong communication and collaboration skills, working with global teams.
Salary / Remuneration:
Pension, healthcare, bonus, and many others
For more information contact Joana Mota confidentially at or email your CV to
I specialize in recruiting for Business Analyst, if you wish to discuss this or other opportunities, please feel free to contact me.
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