Lead Data Engineer (Swedish speaking)

Databees; Stockholms kommun; Hybride; SEK 650 000 - 850 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Strong focus on learning and development

Hybrid work model with flexibility

Collaborative culture with skilled colleagues

Résumé du poste

A leading data solutions provider is seeking an experienced Lead Data Engineer to take ownership of data solutions and lead technical teams. This role requires extensive experience in data engineering, proficiency in Python and SQL, and a solid grasp of cloud-based platforms. The successful applicant will shape modern data architectures and guide teams in delivering high-quality data solutions. The company promotes a hybrid work model and emphasizes learning, development, and collaboration among skilled colleagues.

Qualifications

• 5–10 years of experience in Data Engineering.
• Strong hands-on experience with Python and advanced SQL.
• Experience designing and building modern data platforms at scale.
• Solid understanding of data modeling (e.g., Kimball, Data Vault).
• Deep experience in at least one major cloud platform (Azure, AWS, or GCP).
• Experience working in agile, cross-functional teams.
• Fluent written and spoken Swedish is mandatory.

Responsabilités

• Lead the design and implementation of end-to-end data architectures.
• Own and evolve data pipelines for batch and streaming use cases.
• Ensure data quality, reliability, performance, and scalability.
• Mentor and guide other data engineers in the team.
• Act as a technical advisor towards customers and stakeholders.

Connaissances

Python

Advanced SQL

Data modeling

Cloud-based data platforms

CI/CD

Agile teams

Fluent Swedish

Outils

Snowflake

Azure

AWS

GCP

Terraform

Databricks

Description du poste

We’re looking for a Lead Data Engineer to join us at DataBees AB

At DataBees AB, we help organizations turn data into real business value. We design and deliver modern data platforms, analytics solutions, and cloud architectures that enable better decisions, faster insights, and scalable growth.

We are looking for an experienced Lead Data Engineer who wants to take ownership of data solutions end-to-end and lead both technology and people in close collaboration with our customers.

This is a key role where you will combine hands‑on data engineering, architecture responsibility, and technical leadership in a collaborative, cross‑functional environment.

About the role:

As a Lead Data Engineer at DataBees, you will be responsible for shaping and delivering modern data platforms together with our customers. You will work close to the business, translating complex requirements into scalable, secure, and high‑quality data solutions.

You will act as a technical leader in customer teams, guiding other data engineers, setting standards, and ensuring best practices across the full data lifecycle. The role includes both strategic work and hands‑on implementation.

You will be part of DataBees’ data engineering community while working in cross‑functional teams consisting of business stakeholders, product owners, analysts, and IT specialists.

What you’ll be doing:

• Contribute to continuous improvement of tools, platforms, and ways of working
• Lead the design and implementation of end‑to‑end data architectures (Data Lake / Lakehouse / Data Platforms)
• Own and evolve data pipelines (ETL / ELT) for batch and streaming use cases
• Ensure data quality, reliability, performance, and scalability
• Define and maintain data engineering standards, patterns, and best practices
• Drive automation using CI/CD and Infrastructure as Code
• Act as a technical advisor towards customers and stakeholders
• Mentor and guide other data engineers in the team
• Review code, designs, and solutions to ensure high quality

What will help you thrive in this role

We are looking for someone who enjoys taking responsibility and ownership, and who is motivated by building solutions that create real value for custom

Required experience & skills

• 5–10 years of experience in Data Engineering
• Strong hands‑on experience with Python and advanced SQL
• Experience designing and building modern data platforms at scale
• Solid understanding of data modeling (e.g. Kimball, Data Vault)
• Experience with cloud‑based data warehouses and analytics platforms like Snowflake
• Deep experience in at least one major cloud platform:
  • Azure (Databricks, Data Factory, Synapse, Data Lake), or
  • AWS (Glue, EMR, Redshift, S3), or
  • GCP (BigQuery, Dataflow, Pub/Sub)
• Experience with CI/CD, Git, and automation
• Infrastructure as Code experience (Terraform, Bicep, or CloudFormation)
• Experience working in agile, cross‑functional teams
• Ability to communicate complex topics to both technical and non‑technical stakeholders
• Fluent written and spoken Swedish (mandatory)
• Good professional English

Meriting (Nice to have):

• Experience with streaming technologies (Kafka, Event Hubs, Kinesis)
• Experience with Databricks and Lakehouse architecture
• Data governance, lineage, or GDPR‑focused solutions
• Experience in consulting or customer‑facing roles
• Cloud or data certifications (Azure, AWS, GCP)

Who you are

• A natural technical leader who enjoys guiding and mentoring others
• Structured, solution‑oriented, and quality‑driven
• Curious and motivated to continuously learn and improve
• Customer‑focused and comfortable working close to the business
• A team player who values collaboration and knowledge sharing

What we offer

At DataBees AB, we believe in long‑term growth, trust, and flexibility:

• Challenging assignments with modern technologies and leading customers
• Hybrid work model with flexibility
• Strong focus on learning, development, and knowledge sharing
• A collaborative and inclusive culture with skilled colleagues
• Opportunity to influence architecture, standards, and technical direction
• Competitive compensation

Ready to join us?

If you are a good fit to this role and interested injoining us, we look forward to receiving your application. Reach out to us at [e-mail] or 'Apply now' directly to get started.
Let’s build what’s next — together.