Senior Data Engineer

About company:At Idego, you'll join a ~100-person team of experienced problem solvers building real products across Cloud, Data & AI, and Software Development.

The environment is genuinely AI-oriented - modern tech applied to real business problems, not chasing shiny trends. If you naturally connect the dots across tools, systems, and ideas, and you're someone who stays curious and takes ownership, this is the kind of place where that's noticed and valued.

On the culture side, things stay simple. Autonomy, common sense, zero micromanagement. No unnecessary corporate layers, no "let's look busy" theatre - just smart people working together and building things well.

The remote-friendly setup has been in place for years, so flexibility, trust, and healthy collaboration aren't perks - they're simply how Idego operates.

Modern tech, AI-driven thinking, meaningful projects - and a work culture built around trust, growth, and getting things done properly.

About project:

We're looking for a Senior Data Engineer to join our client's data team! Our client is a software provider for the automotive industry, helping car dealerships digitise the customer experience – from sales to aftersales.

Our perks:

• Fruit Fridays? Well... we have to admit that we don't organize such events. Seriously. No bananas, apples, tangerines... Instead, we've opted for something more practical: a snack cabinet full of drinks, healthy (and not so healthy) treats...
• From time to time, we prefer to send you a LEGO set or a cozy blanket - just in case you're allergic to citrus fruits.
• Work environment with zero micromanagement - we cherish autonomy
• Remote work, recruitment & onboarding ->People from the Tri-City are welcome to join us for lunch :)
• Experienced team from 4 to 15+ years in commercial projects
• Unique memes & pets channel
• Private medical insurance and Medicover Sport

We want you to join our team. We are neither the agency giving you projects from time to time, nor a huge corporation where you are a "dev XYZ". At Idego - you matter!

Zakres obowiązków

• Use AI tools on a daily basis to speed up and automate your work – from writing and reviewing code to testing and documentation.
• Connect a range of client databases (MySQL, SQL Server, PostgreSQL, MongoDB, Redshift and more) and load their data into Snowflake using Estuary and Snowflake’s own tools.
• Build data transformations in Snowflake in line with the architecture defined by the Data Architect.
• Create reliable, fault-tolerant pipelines that handle deletes, reloads and historical data corrections.
• Ensure data quality through automated testing, source-to-target reconciliation, monitoring and alerting.
• Work in a fully automated GitLab CI/CD setup – version control, merge request reviews, automated testing and deployments.

Wymagania

Your profile:

• Must have:
  • Commercial experience as a Senior Data Engineer, building and maintaining data pipelines in production. (6+)
  • Hands-on experience with Snowflake.
  • Strong SQL and experience working with relational databases (e.g. MySQL, SQL Server, PostgreSQL).
  • Experience integrating data from multiple sources, including NoSQL (e.g. MongoDB) and cloud warehouses (e.g. Redshift).
  • Good understanding of building resilient pipelines – incremental loads, change data capture (CDC), handling deletes and reloads.
  • Experience with data quality practices: automated testing, data reconciliation, monitoring and alerting.
  • Practical experience with CI/CD (ideally GitLab) and Git-based workflows, including code reviews.
  • Experience using AI-assisted development tools, preferably Claude Code (must-have):High use of AI and automation of repetitive patterns.
  • English proficiency at C1 level or above required

  Nice to have:

  • Experience with Estuary or similar data ingestion/CDC tools (e.g. Fivetran, Airbyte, Debezium).
  • Experience with dbt or other transformation frameworks

Tech stack

• Snowflake
• SQL
• AI
• Cloud
• Claude
• Python
• Data warehouses
• Data pipelines
• Git
• NoSQL
• PostgreSQL
• MySQL
• Estuary
• Redshift
• GitLab