Senior Data Engineer

Codon Consulting; Stockholms kommun; On-site; SEK 900,000 - 1,150,000; Full time

Benefits offered by this job

Knowledge sharing formats

Team events

Office near Mariatorget

Autonomy with support

AI/ML expertise culture

Job summary

Codon Consulting is seeking a Senior Data Engineer to design and build data platforms used in client projects. You will collaborate with a team passionate about AI and ML, shaping data engineering at a company with deep AI expertise.

In this role you will work end-to-end from architecture to production, communicating decisions clearly to both technical and business stakeholders. A strong background in Python, SQL and Azure-based data platforms is expected.

Qualifications

• Solid experience in data engineering in production environments.
• Strong command of Python and SQL.
• Experience with ETL/ELT pipelines, data modelling, and Azure-based data platforms.
• Comfortable in a consulting role and quick to adapt to new contexts.
• Clear communicator who collaborates with both technical and business stakeholders.

Responsibilities

• Design and build modern data platforms in close dialogue with clients and the team.
• Work end-to-end, from architecture and implementation through to production and ongoing development.
• Collaborate with AI/ML colleagues to ensure data and models fit together.
• Communicate technical decisions and trade-offs to diverse audiences.

Skills

Python

SQL

ETL/ELT pipelines

Big Data

Data modelling

Tools

Azure

Job description

We provide businesses with AI-driven solutions that enhance efficiency, foster innovation, and support sustainable growth.

Established in 2019, we have quickly become a trusted partner for businesses seeking to integrate artificial intelligence into their operations.

We strive to be curious, collaborative, and innovative so that we can unlock AI for our clients and deliver real value.

Codon Consulting | AI-Driven Solutions for Digital Transformation

About the Role

Do you enjoy designing data platforms that are actually used, and doing it together with a team that is passionate about AI?

As a Senior Data Engineer at Codon, you will work in close collaboration with both colleagues and clients, and help shape how data engineering evolves at a company with deep AI/ML expertise.

What We Offer

We believe in a work life where you both deliver cutting-edge technology and thrive as a person. With us, you will find:

• Knowledge sharing that actually happens: Codon Data Science Friday, Machine Learning Breakfast, and other recurring formats where we share and learn from each other
• Community beyond the screen: regular after-work events and kick-offs with the team
• A spacious office near Mariatorget: a place you want to come to
• Technical expertise as the norm: a team where deep AI/ML competence is everyday reality, not the exception
• Great autonomy with clear support: you take ownership of your solutions, but never alone

Technical Profile

• Design and build modern data platforms in close dialogue with clients and the team.
• Work end-to-end, from architecture and implementation through to production and ongoing development.
• Help shape how Codon approaches data engineering - not just follow ready‑made solutions.
• Collaborate with AI/ML colleagues to ensure that data and models fit together.
• Communicate technical decisions and trade-offs in a way that works for different audiences.

Who You Are

We believe that you have:

• Solid experience of data engineering in production environments.
• Strong command of Python and SQL.
• Experience with ETL/ELT pipelines, data modelling, and Azure-based data platforms.
• Comfortable in a consulting role and quick to find your footing in new contexts.
• Clear communicator who collaborates naturally with both technical and business stakeholders.

Requirements

• Ability to commute to the job location
• Willingness to accept a background check
• 5+ years of work experience with Big Data, Data Engineering
• 5+ years of work experience with Python, SQL
• 5+ years of work experience with ETL, ELT pipelines