One of Sweden's and the world's leading businesses within the Finance industry is expanding their Data teams to bridge sources, create more data pipelines and form all the data communication from them to the sub-letter. This is a superb opportunity for experienced Data Engineers who enjoy handling Big Data volumes and building stuff from scratch within a superb collaborative environment!
This user-faced online FinTech business have spearheaded the new way of banking and transformed digital finances since their conception over 15 years ago. The company has become globally renowned highlighted by its presence in 17 core markets and offices all over Europe. Now, as they are growing by more than 40% per year, it could not be a more exciting time to join!
Working under the Senior Engineering Manager, the Data Platform Engineer would come in to cover a broad scope of work, finding and extracting data through various sources throughout the business, transforming it and then connecting it to the correct templates/reports for external reporting. A really exciting opportunity this to support on a whole new reporting platform project and developing a brand new data pipeline!
Act as a tech lead when needed taking ownership of product decisions, sizing as well as all the relevant documentation and communication across the team.
Present solutions to stakeholders to ensure confidence in the work and solutions provided in order to receive the eventual buy-in.
Always ensure that the functional designs produced are business valuable and the delivery is always focused on not just being an application but a true asset to the future of the company.
Key Skills & Experience Required:
Minimum 3-5 years working experience in data development/engineering.
Advantageous to have experience with a Solution Architect-type role.
Superb communication skills in verbal and written English.
A clear ability in being able to handle Big Data volumes i.e. millions of data pipelines.
Strong experience in AWS - not just general exposure but hands-on ability with Redshift, S3, Glue, EMR, Athena, Lambdas)
Good interest in taking on leadership roles.
Previous experience within Finance is desirable, but not essential.
Tech you will be working with:
PySpark, Apache Kafka, SQL, Data warehousing, Python, Git, CI/CD Jenkins
What to do now:
For more information, or if you wish to apply, please apply today or get in touch on firstname.lastname@example.org