Assignment Description

Our client in banking is seeking a Data Engineer to join their team on-site in Malmö or remotely.

As a Data Engineer you will strengthen the client’s Data & Analytics function and you will have a great platform to expand your career and data knowledge. You will work in a diverse and friendly team in a fast-paced environment, acting as a subject matter and collaborating closely with Scrum Master, Product Owner, Business Intelligence Architect, Data Analyst as well as business stakeholders.

You will get the chance to push boundaries and influence your daily work. All as part of a caring, hard working and open culture where you’ll have fun, and operate with a long-term perspective. Because here opportunities arise, and growth follows.

What you’ll do:

• Develop and support data pipelines in the Bank’s AWS-based Data Platform
• Transform designs and requirements into efficient, high-performing, easily maintainable, and reusable code
• Apply critical thinking skills, identify trends and root causes of relatively complex problems
• Automate as much as possible, from CI/CD pipelines to testing and data quality
• Participate in the Solution Design process and pro-actively recommend soultions
• As the client strives to work according to DevOps practices, you will share the responsibility with the rest of the team to make sure that the their solutions are developed, tested, deployed, and run well

Who you are:

• Knowledge base acquired from a few years of experience in data technologies used for data transformation in relational databases and big data environments ( such as on e.g. S3, Python, IAM, AWS Glue, AWS Athena, Spark, Redshift, Airflow etc)
• Understand the demand of particular requirements or problems and applies data engineering skills/techniques thereafter
• Has experience building Datalake, Datawarehouse or Datamarts in AWS
• Experience working with complex data sets, building and maintaining data platforms with focus on data integrity, high data quality
• Excellent English communication skills (written and verbal)

Meritorious:

• Experience in data modelling, particularly for Data Warehouses
• Knowledge of Infrastructure as code and CI/CD pipelines
• Experience working in DevOps team
• Experience in the technology of the client’s current data platform technologies (Oracle RDBMS and Informatica)
• Experience and knowledge of agile frameworks, preferably SAFe
• Financial/Banking experience