Data Engineer

Azienda Riservata Italia; Padova; Ibrido; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading services firm in Italy is seeking an experienced Data Engineer to enhance data pipelines and foster a data-driven culture. The ideal candidate will work with development teams, design scalable data solutions, and utilize tools like Snowflake and dbt. Smart working options are available with 2 days per month on-site in Milan. Join a collaborative Agile team focused on innovation and improvement.

Competenze

• Experience with data ingestion tools like dbt and sqitch.
• Proficiency in data warehouse and lake tools including Snowflake and AWS Redshift.
• Ability to create and manage ETL/ELT pipelines.
• Strong skills in Python for data manipulation.
• Experience in creating queries to support analytics and data science teams.

Mansioni

• Interact with product and development teams for innovation projects.
• Design, build, and maintain data pipelines and tools.
• Create a data-centric culture across the organization.
• Collaborate within an Agile team for continuous improvement.

Conoscenze

Hands-on data ingestion tool (dbt, sqitch)

Hands-on data platform like data warehouse and data lake tools (snowflake, amazon redshift, bigquery)

Pipeline ETL/ELT creation and maintenance (logstash, dbt, sqitch, aws data pipeline)

Python scripting for data manipulation

Query creation for data retrieval and manipulation

Descrizione del lavoro

Data Engineer

The group, operating internationally and active in the services sector, is looking for a Data Engineer.

Key Responsibilities

• Interact with the product and development team to improve current innovation projects and launch new ones using our Data Architecture methodology and culture;
• Design, build and maintain data pipeline. Track and monitor platforms' behavior, and utilize configuration management tools to automate, build and deploy processes. You will also design, manage and maintain tools to automate operational processes and implement systems that are highly available and scalable;
• Create a culture data-centric to maximize data gathering, transformation and normalization to make data available to make business decisions and embrace new culture of data across all companies;
• Be part of a well-structured Agile team with a dynamic, collaborative, and agile mindset where you will have the opportunity to learn, grow and improve the way we work.

Required Skills

• Hands‑on data ingestion tool (dbt, sqitch);
• Hands‑on data platform like data warehouse and data lake tools (snowflake, amazon redshift, bigquery);
• Well‑known pipeline ETL / ELT create, maintain and migrate between tech stack (logstash, dbt, sqitch, aws data pipeline);
• Well‑known python scripting for data manipulation;
• Hands‑on on create query for retrieval, manipulation and build data to support analytics tool or analyst team as well as data scientist teams.

Smart working : 2 days per month on-site in Milan, with great flexibility.