Data Engineer
Indexed description
Why are we looking for a Data Engineer?
We have a modern, cloud-based data platform, which you will build upon and improve with other engineers in the team. As part of the vision of the Data Platform Team at Kivra, we are developing an internal platform for analysts and engineers to improve the ease and experience of working with data across the organization. We connect internal and external data sources to make data available for AI, and as part of that vision, we are building a platform where Kivra can work with agents in a better, faster and safer way.
What You’ll Do
- Build and maintain an internal development platform for data tools, services, and workflows
- Standardize configurations and workflows
- Automate redundant tasks
- Ensure compliance (e.g. GDPR) and security across all golden paths
- Contribute to, build, and maintain an internal development platform making data available for ai and enabling autonomous agents to work efficiently and securely on a shared infrastructure
- Adopt a “platform as a product” approach, treating analysts and engineers as our customers; aim to improve the analyst and engineering experience working with agents, data tools and services, and remove complexity and cognitive load of our customers
- Use your knowledge and expertise to work with stakeholders to make data easily accessible and available to product and functional teams in Kivra (this data is used for, amongst others, business intelligence, business development, analytics, reporting and billing). We are responsible for a number of data products and services which we provide to the rest of the organization (e.g. APIs and data integrations)
- Build, improve and maintain a resilient and scalable data foundation and infrastructure
- As a team, we have full ownership and autonomy over what and how we build our solutions - from idea and design, to implementation and operations. We are responsible for our solutions end-to-end. We believe in and work according to everything-as-code.
Furthermore We Think That You
- Are easy-going, open, curious and bring positive energy to your work and colleagues
- Are a team-player, solution oriented and takes ownership of your outcome and tasks
- Thrive in a DevOps environment where we take full accountability for our systems.
- Have at least 4 years of full-time software engineering development, and an interest in AI, data engineering and platform engineering
- Have experience working with automation, Infrastructure as Code (IaC), version control, containerization, and CI/CD (we use Terraform, GitHub, Docker, Kubernetes, GitHub Actions)
- Have experience working in a cloud platform - GCP, Azure, or AWS (we use GCP)
- Are comfortable with Python and SQL
- Are already familiar with, or want to work in the data engineering space (and associated tooling, e.g. Airflow and DBT)
- Are familiar with Google Cloud Platform and the tooling there
- Have experience with data engineering and data tooling - e.g. Airflow, DBT, cloud data warehouses (we use BigQuery)
We offer
Kivra offers a role in a caring and committed team, in a company that is growing and continuously innovating. You’ll join a warm and friendly culture that thrives on collaboration and teamwork. You will be involved in shaping and influencing a product currently used by more than half of Sweden’s population.
We offer competitive remuneration and great benefits. We offer a hybrid way of working where working from home is of course accepted, however you are always welcome to join us in our vibrant office located in central Stockholm.
How To Apply
The application deadline is October 2nd, but we will review applications on an ongoing basis, so don’t wait - submit your application today! If you have any questions regarding the role or the recruitment process don’t hesitate to contact Sarah Ohlsson, Talent Acquisition Partner at [email protected].
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