Mid/Senior Data Engineer

Job Description

We are a remote-first, international SaaS company helping businesses maximise their revenue potential in Europe and the US with our Go-To-Market SaaS Platform. We are the successful merger of Leadfeeder and Echobot, bringing two industry leaders together.

What makes us unique? With origins in Finland and Germany, the country with the highest privacy standards in Europe, Dealfront was born with compliance and transparency in its DNA. This ensures that our users know exactly where their data originated. Compliance does not affect companies' earnings.

We have over 330 dealfronters around the world in 40 countries. Join us and help us continue our mission to be the leading Go-To-Market platform that helps B2B companies win deals in Europe.

Position Overview

We are looking for a Data Engineer to join our Data Warehouse team and play a key role in our journey to transform it to a Data Analytics Platform, fostering a data-as-a-product culture.

As our second Data Engineer in the team, you will lead the charge in implementing our core principles, ensuring low complexity, flexibility, data security, and quality, while contributing to the evolution of our platform to empower data ownership across domains.

This role presents an excellent opportunity for you to grow and to work with cutting-edge technologies while having a significant impact on our data infrastructure.

Responsibilities

• Design, build, and maintain our Data Warehouse and data pipelines. Most of the current stack is on AWS: Redshift, S3, Step Functions, Glue and Lambda.
• Lead the transition to open-source tools like Meltano and dbt for ETL processes and analytics. Drive the adoption of these tools across the organization.
• Collaborate with stakeholders to understand their data requirements, design and implement data ingestion processes, onboard new data sources.
• Implement data quality checks and data observability around our processes to ensure the integrity and accuracy of the data.
• Day to day operational maintenance and monitoring to make sure our pipelines are stable and running.
• Work closely together with our analysts on the data model, schema design and documentation.

Requirements

• Proven expertise within Data Engineering, with a background of managing and optimizing data pipelines.
• Strong SQL and Python skills.
• Hands-on experience AWS services (e.g. Glue, Step Functions, Lambda).
• Hands-on experience with Data Warehousing technologies and platforms (e.g. Redshift, Snowflake).
• Experience with Data Modeling (e.g. 3NF, Kimball’s, Data Vault)
• Experience with dbt, preferably have built or contributed to the projects from the ground up.
• Experience with the implementation of data observability and quality services.
• Experience with Terraform.
• Any experience with Meltano, Stitch, Airbyte or similar tools would be advantageous.
• Strong communication skills and the ability to work independently, as well as part of a team.
• Ability to adapt to a fast-paced, evolving environment.

Benefits

What You'll Get

• Flexible working hours: Decide to work between 32, 35 or 40 hours per week (no on-call duty)
• A casual working environment: no dress code, and regularly team events like the developer pub-night
• Learn more: As your employer, we encourage you to invest in your professional and personal growth
• The opportunity to get to know your future colleagues before you sign your contract
• Additional vacation days, business mobile phone or gym discounts—you decide, which benefits are important to you
• A brand-new office with a PS5 and a rooftop terrace to relax

Perks

• The chance to work with a very knowledgeable, high-achieving and fun team
• An international, diverse, dynamic and committed work environment
• The opportunity to work remotely, with a flexible work schedule
• Mental Health support with Auntie
• Company retreats in sunny locations and team off-sites - Last year we went to Croatia ;)