Data Engineer

Backtick; Lunds kommun; On-site; SEK 500,000 - 650,000; Full time

Benefits offered by this job

Competitive salary

Transparent equity model

Flexible hours and vacation

Paid conferences

Generous budget for hardware and tools

Team getaways

Job summary

A dynamic technology company in Lunds kommun is seeking a data engineer to design and build systems for large-scale data. You will utilize your skills in Python, Scala, or Go, and work with tools like Databricks and Snowflake. The role encourages collaboration and innovation, with a supportive team that values transparency. Perks include a competitive salary, flexible hours, and opportunities for learning and development through events and hackathons.

Qualifications

• At least 3 years of relevant experience.
• Experience with Python, Scala, or Go.
• Familiarity with Databricks and Snowflake.

Responsibilities

• Design and build systems for large-scale data.
• Create scalable and high-performance data storage solutions.
• Build and maintain data pipelines.

Skills

Programming

Problem-solving

Collaboration

Curiosity

Tools

Python

Scala

Go

Databricks

Snowflake

Postgres

MongoDB

Redis

Kafka

Airflow

Job description

About you

We’re looking for a data engineer who’s curious, collaborative, and ready to work with modern technologies in a team that values transparency, quality, and innovation. You’ll be part of a humble and supportive group of engineers who enjoy building meaningful solutions for both clients and internal projects.

You’ll spend your days working with code and data at scale, so a genuine interest in programming and problem-solving is key. If you like working across disciplines, sharing ideas, and learning from others, you’ll feel right at home here.

What you’ll do

Your focus will be to design and build systems for large-scale data using modern tools and frameworks. You’ll work on challenges like:

• Designing scalable and high-performance data storage solutions
• Decoupling data ingestion, storage, and compute
• Creating effective schemas and partitioning strategies
• Running large-scale ETL and analytics with distributed computing systems
• Building and maintaining data pipelines
• Making data more discoverable and easier to use for data scientists
• Selecting and integrating open-source tools for robust data platforms

What we value

• Empathy and a collaborative mindset
• Curiosity and an eagerness to improve things
• Clean, maintainable code with room for the occasional quick fix when needed
• A balance between simplicity and performance

Experience that would help

You don’t need to tick every box, but here are some of the technologies we work with daily:

• At least 3 years of relevant experience
• Python, Scala, or Go
• Databricks, Snowflake
• Object storage (S3, Minio) and big data formats (Parquet, Avro)
• Delta / Apache Iceberg
• dbt, Spark, Dask, Trino
• Kafka, RabbitMQ, MQTT
• Postgres, MongoDB, Redis
• Airflow, Dagster
• GH Actions, Docker, Kubernetes, Linux, Git

Working at Backtick

We’re a small, dedicated team with a flat structure and a culture built on trust. We care about delivering value to our customers while creating an environment where our colleagues can thrive. That means investing in R&D, encouraging side projects and making sure work stays both challenging and enjoyable.

Every year, we organize team getaways, an autumn adventure and our popular “Codecation” hackathon. It’s a mix of hard work, creative problem-solving and time to enjoy each other’s company.

Perks

• Competitive salary
• Transparent equity model
• Events, hackathons, and paid conferences
• A generous budget for hardware, learning, and tools
• Flexible hours and vacation
• Fika 🍪 and great coffee