Senior Data Engineer

Bonapolia; Madrid; On-site; EUR 45,000 - 80,000; Full time

Job summary

An established industry player is seeking a certified Data Engineer to transform data into actionable insights. This role offers a unique opportunity to lead change within a growing company, focusing on data analysis, pipeline creation, and enhancing data quality. With a commitment to innovation, the firm provides a dynamic work environment where your contributions will significantly impact business decisions. If you have a passion for data and a strong background in engineering, this is the perfect opportunity to advance your career while making a difference.

Qualifications

• 5+ years of experience in Data Engineering or programming in dynamic projects.
• Proficiency in Python and hands-on database platform experience.

Responsibilities

• Analyze existing data sources and identify anomalies or trends.
• Create data pipelines and evaluate business needs.

Skills

Data Engineering

Python

ETL / ELT workflows

Data Warehousing

Database platforms (Apache Hive, Hadoop, SQL Server, PostgreSQL, ClickHouse)

DBT

Dagster

Education

Bachelor's degree or equivalent professional experience

Tools

Apache Hive

Hadoop

Microsoft SQL Server

PostgreSQL

ClickHouse

Terraform

Job description

For job seekers, BONAPOLIA offers a gateway to exciting career prospects and the chance to thrive in a fulfilling work environment. We believe that the right job can transform lives, and we are committed to making that happen for you.

We are looking for a certified Data Engineer who will turn data into information, information into insight, and insight into business decisions. This is a unique opportunity to be one of the key drivers of change in our expanding company.

About Our Customer

The Customer is a leading global provider of marketing technology & analytical consultancy with more than 25 years of experience enabling clients to pull insights out of their data more efficiently. The software and consultancy are designed to deliver insights quickly & efficiently without sacrificing quality.

Requirements

1. Bachelor-level expertise demonstrated through formal education or equivalent professional experience
2. 5+ years in Data Engineering, Data Warehousing, or programming within a dynamic (software) project environment
3. Hands-on experience with a database platform such as Apache Hive, Hadoop, Microsoft SQL Server, PostgreSQL, ClickHouse, or similar
4. Proficiency in Python for developing data pipelines and managing ETL / ELT workflows
5. Knowledge of Dagster
6. Expertise in DBT

Nice to Have

1. Understanding of marketing data sources (e.g., consumer panel, retail scanning, survey data, Google Ads, Google Analytics, Facebook Insights, etc.)
2. Experience with Soda validations
3. Background in Terraform

Responsibilities

1. Analyze existing data sources
2. Identify anomalies / trends
3. Create data pipelines, graphics, and reports
4. Evaluate business needs and objectives
5. Explore ways to enhance data quality and reliability
6. Identify opportunities for data acquisition

Senior Data Engineer • Madrid, Community of Madrid, .ES