Senior Platform Engineer to Handelsbanken

Join Handelsbanken’s Advanced Analytics & AI department as a Senior Platform Engineer! You’ll build and operate cutting-edge data and machine learning capabilities, playing a crucial role in driving our business forward with data-driven insights.

Your team
At Handelsbanken, we’re on a mission to lead the industry in advanced analytics and AI, delivering superior products, services, and experiences to our customers. Our team leverages statistics, machine learning, and cutting-edge technologies across diverse areas such as content personalisation, product development, and business strategy.

We thrive in a cross-functional environment characterised by initiative, collaboration, and innovation. Together, we tackle business challenges by predicting outcomes, deciphering complex data relationships, and building models that enhance our customers’ experiences.

Your role
Delivering business value from data is challenging, and it all starts and ends with great engineering. As a Senior Platform Engineer, your focus will be on constructing and maintaining our hybrid data platforms, leveraging your expertise to create efficient data and machine learning pipelines. Our platforms span both on-premises and cloud environments, so it’s essential that you enjoy working with SRE in a Linux environment—bonus points if you prefer the terminal.

We believe that DevOps and software engineering practices are the foundation for delivering ML & AI to production, enabling our branch offices to utilise the insights and models we create. You will work closely with Data and ML engineers to ensure we have the best data platforms possible. We work closely with our data scientists who primarily focus on identifying use cases and business optimisations. We are looking for an experienced platform engineer who thrives in all parts of the ML delivery chain—from sourcing, transforming, and processing data to operationalising and improving models, and engaging with stakeholders. If you are a seasoned engineer eager to work hands-on, enhancing platforms to expand in CI/CD and ML pipelining, the Advanced Analytics & AI team at Handelsbanken is an excellent choice.

Your profile
We see that you have several years of professional experience as a Data/DevOps/ML Engineer and hold a Master's degree in a technical field. This has given you extensive experience in software development (you are proficient in Python and SQL) and a deep understanding of system design. You are skilled in working with data and building data pipelines, including data modelling, orchestration, and validation using tools like dbt, Prefect, and Spark. You have experience in containerised development within a Linux environment and deploying ML models in production, i.e. exposure to MLOps. Additionally you are familiar with test-driven development practices and with infrastructure as code tools such as Terraform and Ansible. We see that you are willing to learn, or already have, basic Swedish language skills. As a person you possess excellent problem-solving skills and enjoy tackling challenges with code. The ideal candidate is curious and inventive, continuously striving for improvement. They share our commitment to being smart, humble, and, above all, collaborative.

Welcome with your application

Contact details

Recruiting manager: Mikael Twengström, mikael.twengstrom@handelsbanken.se
Talent Acquisition Partner: Alva Jonerot, alva.jonerot@handelsbanken.se
Union representative Finansförbundet: Per Almshult, per.almshult@handelsbanken.se
Union representative Akademikerföreningen: Bjarne Nilsson, bjarne.nilsson@handelsbanken.se