Senior Data Warehouse Engineer - Fully Remote, Cloud Data

Jobgether SRL; Town of Italy (NY); On-site; EUR 134,000 - 181,000; Full time

Benefits offered by this job

Fully remote work

Global collaboration

Hands-on with ClickHouse, Redshift, db

Job summary

Jobgether SRL is seeking a Senior Data Warehouse Engineer based in Italy. You will architect and maintain scalable data warehouse solutions that power analytics and ML initiatives, and develop reliable ELT pipelines with strong data quality.

You will optimize performance, collaborate with data scientists, and promote best data practices across cloud platforms including ClickHouse, BigQuery, Snowflake, and Redshift.

Qualifications

• Experience designing and optimizing data warehouses in cloud environments (AWS or GCP).
• Strong SQL skills and dbt experience.
• Experience with columnar/cloud data warehouses (ClickHouse, BigQuery, Snowflake, Redshift).
• Data pipelines using orchestration tools (Airflow or Prefect).
• Knowledge of data quality, warehouse architecture, and ETL/ELT best practices.
• Version control, testing, automation, and code reviews in data projects.

Responsibilities

• Architect and maintain scalable data warehouse solutions for analytics and operations.
• Develop reliable data pipelines and ELT processes with strong data quality standards.
• Optimize warehouse performance via partitioning, indexing, and tuning techniques.
• Collaborate with data analysts/scientists to enable analytics and ML initiatives.
• Monitor and improve data warehouse reliability, performance, and cost efficiency.
• Promote best practices for clean, structured, reliable data across systems.
• Work with ClickHouse and other cloud services; integrate data platforms.

Skills

SQL

Data modeling

dbt

Cloud data warehousing

Airflow/Prefect

Python

Terraform

Kafka

DevOps mindset

ClickHouse

Tools

ClickHouse

Databricks

BigQuery

Snowflake

Redshift

Apache Superset

Sigma

Job description

Jobgether SRL is seeking a Senior Data Warehouse Engineer based in Italy. You will architect and maintain scalable data warehouse solutions that power analytics and ML initiatives, and develop reliable ELT pipelines with strong data quality.

You will optimize performance, collaborate with data scientists, and promote best data practices across cloud platforms including ClickHouse, BigQuery, Snowflake, and Redshift.