Senior Data Engineer

150 - 180 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·B2B

#470254·Dodano 6 dni temu·2

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Snowflake SQLAICloudClaude PythonData warehousesData pipelinesGitNoSQLPostgreSQL MySQLEstuaryRedshift GitLab

Podsumowanie oferty

Join the client's data team building data pipelines for a software provider serving the automotive industry and helping car dealerships digitise the customer experience. You will load client data into Snowflake and build reliable pipelines and transformations using Estuary and SQL.

Wymagania

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

Nice to have:

Experience with Estuary or similar data ingestion and CDC tools, such as Fivetran, Airbyte, or Debezium.
Experience with dbt or other transformation frameworks.

Obowiązki

Use AI tools daily to speed up and automate work, including writing and reviewing code, testing, and documentation.
Connect client databases, including MySQL, SQL Server, PostgreSQL, MongoDB, and Redshift, and load data into Snowflake using Estuary and Snowflake tools.
Build data transformations in Snowflake in line with the architecture defined by the Data Architect.
Build 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 an automated GitLab CI/CD setup covering version control, merge request reviews, automated testing, and deployments.

Benefity

A snack cabinet with drinks and a range of treats.
Occasional gifts such as a LEGO set or a cozy blanket.
Private medical insurance.
Medicover Sport.

Napoje w biurze

Darmowe przekąski

Ubezpieczenie

Karta sportowa

Opieka zdrowotna

Idego Group Sp. z o.o.

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