Senior Data Engineer - Data Platform

Aira; Stockholms kommun; On-site; SEK 700,000 - 1,100,000; Full time

Job summary

Aira is seeking a Senior Data Engineer to join the Data Platform team in Stockholm. You will help build, improve and scale the data platform used by multiple teams to power products and decisions. The role mixes hands‑on engineering with architecture input and stakeholder collaboration.

You’ll work on pipelines, platform capabilities, and governance, while shaping how data is consumed across the organization through Data Mesh principles and self‑service analytics.

Qualifications

• Several years of experience in data engineering and working with production systems at scale.
• Experience across data engineering, platform engineering, backend development or infrastructure.
• Ability to move between implementation details, architecture discussions and stakeholder conversations.

Responsibilities

• Build, improve and maintain Aira's data platform.
• Develop and operate batch and streaming data pipelines.
• Work with domain teams to establish and evolve data serving pipelines.
• Help teams own and manage their data assets through our Data Mesh approach.
• Enable analytics engineers and domain experts to build data products and self‑service analytics.
• Make it easier for teams to build, run and maintain data products.
• Improve reliability, governance, observability and platform performance.
• Contribute to architectural decisions and long‑term platform direction.
• Explore new technologies and approaches to solve real problems.

Skills

Data engineering

Data Mesh

Infrastructure as Code

Batch data pipelines

Streaming data pipelines

Cloud platforms

Kafka

Python

SQL

Dagster

dbt

Terraform

Kubernetes

Tools

BigQuery

Schema Registry

Dagster

dbt

Terraform

GitHub Actions

Kubernetes

Job description

About The Role

We're looking for a Senior Data Engineer to join our Data Platform team.

As Aira grows, more teams rely on data to build products, make decisions and run their day‑to‑day operations. One of our biggest challenges is helping teams move fast without creating unnecessary complexity for everyone else.

This role sits right in the middle of that challenge.

You’ll help build, improve and scale the platform that teams across Aira depend on. Some days you’ll be working on pipelines and platform capabilities. Other days you’ll be discussing architecture, helping teams solve problems or figuring out how to scale ways of working that made sense when we were smaller.

The role combines strategic thinking, stakeholder management and hands‑on engineering. If you enjoy building things while also influencing how an organisation works with data, you’ll feel at home here.

What You’ll Do

• Build, improve and maintain Aira's data platform
• Develop and operate batch and streaming data pipelines
• Work with domain teams to establish and evolve data serving pipelines
• Help teams own and manage their data assets through our Data Mesh approach
• Enable analytics engineers and domain experts to build data products, self‑service analytics and data science solutions
• Make it easier for teams to build, run and maintain data products
• Help teams avoid solving the same problem in ten different ways
• Improve reliability, governance, observability and platform performance
• Contribute to architectural decisions and the long‑term direction of the platform
• Explore new technologies and approaches when they solve real problems

Who You Are

You have several years of experience within Data Engineering and have worked with production systems at scale.

You’ve probably seen different ways of solving similar problems, whether that’s through product companies, consulting or working across multiple teams and domains. Your background might be in data engineering, platform engineering, backend development or infrastructure.

You’re comfortable moving between implementation details, architecture discussions and conversations with stakeholders.

You understand that building a successful platform isn’t only about technology. Different teams have different priorities, constraints and ways of working. A big part of the role is helping us find solutions that work well across the organisation while keeping things practical.

You’re comfortable explaining technical trade‑offs, helping teams understand why decisions matter and building support around a shared direction.

Sometimes you’ll help teams move faster. Sometimes you’ll push back on an approach that creates unnecessary complexity or long‑term problems. You’re comfortable doing both.

You enjoy creating structure where it’s needed, but you’re pragmatic enough to know when simplicity is the better option.

Most importantly, you care about building foundations that will still make sense a few years from now, not just getting something out the door this sprint.

Technical Experience

We’re not looking for a perfect checklist match, but experience with many of the following will help you succeed:

• Modern data platform architectures and Data Mesh
• Infrastructure as Code
• Production‑grade data pipelines
• Kafka and streaming architectures
• ELT/ETL development
• Database and pipeline architecture
• Cloud platforms and distributed systems

Our current stack

• GCP (BigQuery, IAM)
• AWS (Kafka Connect, Schema Registry)
• Azure (Access Management)
• Python
• SQL
• Dagster
• dbt
• dlt
• Terraform
• GitHub Actions
• Kubernetes

At Aira, we champion the next‑generation energy as well as diversity and inclusion. We firmly believe that a diverse workforce fosters innovation and creativity, enhancing our ability to serve customers and communities effectively. We welcome individuals from all backgrounds, cultures, and perspectives to join our team. Our commitment is to uphold equality and inclusivity, fostering a collaborative environment where everyone can thrive and contribute to a better future for our people and the planet.