Senior Data Engineer – PIM

Jobtailor; Helsinki; On-site; EUR 70,000 - 110,000; Full time

Job summary

Jobtailor is seeking a Data Engineer to design, build, and maintain robust data pipelines for product information management (PIM) systems. You will collaborate with cross-functional teams to translate requirements into scalable data solutions, ensuring data quality and governance across the data products.

Proficiency in SQL, Bash, Git, and modern cloud platforms is essential. You'll work in an agile environment, leveraging Spark, Databricks, and Snowflake to process data, while integrating with

Qualifications

• Extensive experience as a Data Engineer with a focus on PIM systems.
• Proficiency in building and managing data pipelines using Spark, Databricks and Snowflake.
• Strong knowledge of data modeling, data integration, and ETL/ELT best practices.
• Experience with Azure and AWS cloud platforms.
• Familiarity with orchestration tools like Airflow, Prefect, or Dagster.
• Hands-on data governance, data quality, and security practices.
• Comfortable working in agile environments and collaborating with stakeholders.
• Excellent problem-solving skills and pragmatic approach to delivering solutions.
• Proficient in SQL, Bash, and Git.

Responsibilities

• Design, develop, and maintain data pipelines and integration solutions for PIM systems.
• Collaborate with cross-functional teams to gather requirements.
• Implement scalable data solutions that support business needs.
• Ensure data integrity, quality, and governance across data products.
• Leverage cloud technologies to manage PIM data effectively.

Skills

Data engineering

PIM systems

SQL

Bash scripting

Git

Cloud platforms

Azure

AWS

Airflow

Databricks

Kafka

Databases

ETL/ELT

CI/CD

DevOps practices

Data governance

English communication

Tools

Apache Spark

Databricks

Snowflake

Airflow

Prefect

Dagster

Kafka

Git

Terraform

Job description

Overview

Designing, developing, and maintaining robust data pipelines and integration solutions focused on Product Information Management (PIM) systems. Collaborating with cross-functional teams to gather requirements. Implementing scalable data solutions. Ensuring data integrity and governance. Leveraging cloud technologies to support PIM data management.

Responsibilities

• Design, develop, and maintain data pipelines and integration solutions for PIM systems.
• Collaborate with cross-functional teams to gather requirements.
• Implement scalable data solutions that support business needs.
• Ensure data integrity, quality, and governance across data products.
• Leverage cloud technologies to manage PIM data effectively.

Qualifications

• Extensive experience as a Data Engineer with a focus on Product Information Management (PIM) systems.
• Proficiency in building and managing data pipelines using technologies such as Apache Spark, Databricks, and Snowflake.
• Strong knowledge of data modeling, data integration, and ETL/ELT best practices.
• Experience with cloud platforms, particularly Azure and AWS.
• Familiarity with orchestration tools like Airflow, Prefect, or Dagster.
• Hands-on experience with data governance, data quality tools, and security practices.
• Comfortable working in agile environments and collaborating with stakeholders.
• Excellent problem-solving skills and pragmatic approach to delivering solutions.
• Proficient in SQL, Bash scripting, and version control systems such as Git.
• Strong communication skills in English.
• Preferred Skills:
  • Experience with CI/CD pipelines, GitOps, and DevOps practices.
  • Knowledge of data streaming technologies like Apache Kafka.
  • Familiarity with PIM platforms and product data lifecycle management.