Lead migration from Snowflake to the client platform, build AI-native data migration capabilities, design and maintain scalable data pipelines and platforms, propose improvements, and collaborate with senior engineers, product/project managers, and data analysts.
We are looking for a Senior Data Engineer.
About the project:
Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. As a Senior Data Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.
Requirements:
- 5+ years of experience in data engineering
- Expertise in AWS services ( Glue, Athena, etc.)
- Proficiency in Python, PySpark, GCP
- Experience with Snowflake, DBT, SQL, Airflow
- Experience with Qlik to AWS Datalake (nice to have)
- Solid experience in the usage of the AI tools for development (Claude Code, Codex, and similar)
- Experience with AI-native migration
- English - Upper-Intermediate+
- Experience in building and maintaining data pipelines
- Experience in building data platforms, not just using them
- Proficiency in data modeling techniques and best practices
Responsibilities:
- Work on migration from Snowflake to the client’s service
- Propose improvements, be actively involved in team discussions and decision-making, and drive initiatives
- Building an AI-native data migration capability
- Work closely with a team of Senior Engineers, Product & Project Manager and Data Analysts
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Similar Jobs
Artificial Intelligence
Own and grow the Data Layer: build and operate ingestion, transformation, reconciliation, and serving pipelines (raw→refined→curated). Use agentic AI tools to accelerate delivery, ensure data correctness, and partner with backend, AI, and product teams to define reliable data contracts.
Top Skills:
Agentic Dev ToolsAPIsClaude CodeCloud Data WarehouseCodexCursorEltMajor Cloud PlatformMedallion/Lakehouse ArchitectureOrchestration FrameworkSQLStreaming/Event Ingestion
Information Technology • Internet of Things • Financial Services
Design, build, and operate high-frequency, event-driven data pipelines into Snowflake; implement reverse ETL; model data with dbt; deploy cloud infra as code; monitor and improve production reliability, latency, quality, and cost; mentor teammates and establish data engineering standards.
Top Skills:
AirbyteAPIsAWSBigQueryDbtDockerEventsGCPGitGithub ActionsHexPostbacksPostgresPythonSnowflakeSQLTerraformTypescriptWebhooks
Artificial Intelligence • Software • Automation
Design, build, and own end-to-end data pipelines on BigQuery and dbt; orchestrate workflows with Dagster; enable analytics and AI use cases; build marketing attribution and reverse-ETL; enforce data quality, observability, and platform standards.
Top Skills:
AirflowBigQueryCi/CdDagsterDbtGitPrefectPythonSQL
What you need to know about the Dublin Tech Scene
From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.

