We’re seeking a data engineer who is excited to work with new technologies and architectures in a friendly organization that focuses on transparency, quality and innovation. In your role, you will work in a humble and empathic engineering team to deliver fantastic experiences to both our clients and internal projects. The role involves writing lots of code and managing lots of data, so having a passion for programming and data is necessary. You have a genuine interest in solving problems at scale.
Our ideal candidate enjoys a collaborative environment involving different stakeholders and subject matter experts with an open mind and eagerness to acquire new skills. Are you creative, eager to learn and prioritize quality in all of your work? Great, read on!
You’ll work in a team and your primary goal will be to engineer systems for large scale data with modern development tools, frameworks and philosophies. Specifically, you will encounter challenges such as:
Designing data storage solutions for scalability & performance
Decoupling data ingest, storage & compute
Designing data schemas and partitioning data
Performing large scale ETL and analysis with distributed computing systems
Setting up and maintaining data pipelines
Providing dataset versioning and traceability to users
Building data discoverability tools and libraries for data scientists to simplify their lives
Choosing between multiple open source frameworks and libraries to provide a well engineered platform for massive amounts of data.
We believe in the importance of personal development and actively work to ensure our coworkers get the tools they need. It’s not essential that you know everything, we’ll do our best to help you on your way! You probably have a background in computer science or a similar field, valuing simplicity and performance. In addition, you have:
Empathy and a humble attitude
An eagerness to make things better
A preference for writing clean and maintainable code
Acceptance for occasional hacky one-off solutions
It’s not expected that you have expertise across all listed areas, but these are some of the things we work with on a daily basis:
Python, Scala or Go
Managed data platforms and warehouses such as Databricks, Snowflake
Data lakehouse architectures
Object storage (S3, Minio)
Relevant big data formats such as Parquet and Avro
Delta / Apache Iceberg
Data versioning tools such as dbt
Distributed computing systems (Spark / Dask / Trino)
Message queues such as RabbitMQ, MQTT, Kafka
Databases such as Postgres, MongoDB, Redis
Pipeline frameworks like Airflow, Dagster
CI/CD tools such as GH actions
Linux, shell scripting
Backtick is currently a small dedicated team. We are a group of people with diverse skills who appreciate transparency and a flat organization. As with many things, working here is hard to summarize but we’ll give it a go and say: it’s fun to come to work every day.
Our primary focus at Backtick is providing value to our customers while making sure our employees have the best workplace possible. We spend significant resources on R&D and product development with a vision of becoming a venture studio, encouraging employees to bring side projects to life. We believe in the development of our coworkers - in order for Backtick to succeed, we need our employees to succeed. Every year, we organize an autumn adventure trip, a spring get-away and the ever more popular hackathon Codecation.
Transparent equity model
Events, hackathons, and paid conferences.
A generous budget for hardware, education and tools
Lots of fun gear to play around with (3d-printer, bare metal office cluster)
Flexible work hours and vacation.
In a traditional sense, we’re a consulting company - but we try to think differently. We invest significant amounts of money into R&D and product development with the goal of one day becoming a venture studio.
We recently launched our first product and feel we're on the right track!
Company wide transparent pay levels. Salary bumps every six months.
Transparent, recurring options program that gives you shares in Backtick Valley, our holding company.
Come as you are. We're not much for hierarchy and titles.
Consulting & product work - we do a bit of both!