Data Engineer

at  Ikano Bank AB publ

Are you passionate about data and technology? Are you a motivated and analytical person seeking an exciting and rewarding opening in a fast-paced environment? Have you worked with Data Engineering and AWS? If you’re looking for change - we’re looking for you!
Ikano Bank’s Digital organisation is on an exciting transformation journey to advance our mindsets, ways of working, and solutions. Our vision is to establish user-friendly digital capabilities for the many people by unlocking the full potential of our co-workers and partners. Let’s achieve great things together!
We offer you
As a Data Engineer you will strengthen our 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.
This position is more than what meets the eye. You will get the chance to push boundaries and influence your daily work. All as part of a caring and open culture where we live our values, work hard, have fun, and operate with a long-term perspective. Because here opportunities arise, and growth follows.
Are you the one for Ikano?

Key Qualifications

• 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

• Develop and support data pipelines on IKANO 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 solutions
• As we strive to work according to DevOps practices, you will share the responsibility with the rest of the team to make sure that our solutions are developed, tested, deployed, and run well

Key Qualifications

• 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)