Arbetsbeskrivning

SEB has started an exciting transformational journey to become the most data-driven bank in the world. Are you ambitious, driven, and curious, and want to continually develop your knowledge and skills? Then here you have an opportunity to take an important role as a Data Engineer in Data Team in Financing department where you can work in Google Cloud environment.

SEB is more than just a bank with an IT function. We are a progressive tech company powered by innovation and fueled by collaboration. Together we're innovating for a sustainable society and building the tech arena of the future, a welcoming space for everyone. Are you ready to take on a new challenge? If so, you'll be interested in this opportunity!

About the role

As a data engineer, you will be in a team where you will be helping the teams in the department on data transformation to GCP and for adding data driven functionality to their applications. You will work in an international environment with multiple agile teams located in Stockholm and Vilnius.

To thrive in this role, we believe you have:

As a data engineer, we believe that you have a solid data engineer background and this you combine with knowledge in Google Cloud. You have experience within Python and are experienced in data engineering. We are looking for someone who has a great interest in learning new things and exploring new techniques.

In order to thrive here, you should be interested in engineering problems and like finding creative solutions to complex problems. If you are analytical, curious and have a passion for discovering new ways of working, you will enjoy it here!

Required skills:

• Excellent programming skills in Python.

• Google Cloud Knowledge.

• Collaboration skills and high sense of responsibility. We are working team based, and the ability to share knowledge and experience is fundamental.

• Version control systems (Gitlab, Github).

• Cloud Sql, Postgres.

• Bigquery.

• Cloud Functions (GCP).

• Knowledge Terraform as IAC( infrastructure as code).

• Basic knowledge regarding ETL/ELT pipelines in GCP with some tools.(Eg Dataflow Dataform).

• CICD basic knowledge.

Nice-to-have:

• Pyspark.

• Hive, Hql.

• Airflow.

What we offer

• Agile and modern ways of working.

• A flat hierarchy and openness to share ideas.

• Challenging, cutting-edge work.