Data Engineer

Teya; Madrid; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

An innovative firm is on the lookout for a Data Engineer to enhance their data solutions and build a scalable Data Platform. This role involves transforming complex data models, maintaining ETL flows, and ensuring data reliability. You will collaborate with a skilled team to manage large datasets and integrate data into business processes. If you have a strong background in SQL, ETL tools, and data engineering, this is a fantastic opportunity to make a significant impact in a dynamic environment. Join us in shaping the future of data management and analytics!

Servicios

Competitive salary

Health Insurance

25 days of Annual leave (+ Bank holidays)

Flexible working hours

Formación

• Strong SQL skills and experience with ETL tooling.
• Familiarity with data modelling, warehousing, and pipeline design.

Responsabilidades

• Maintain and improve ETL flows for large datasets.
• Ensure data reliability and manage stakeholder expectations.

Conocimientos

SQL

ETL tooling (DBT, SSIS, Wherescape)

Data modelling

Data warehousing

Data pipeline design

Python

Data structures

Algorithms

Software engineering principles

Educación

3+ years experience in Data Analytics, Analytics Engineering, or Data Engineering

Descripción del empleo

Job Description

Your Role

We are seeking a Data Engineer to join our team. An expert in Data warehouse design who understands how to transform complex data models into scalable products. The successful candidate will be responsible for designing, developing, and implementing upgrades to some of our legacy data solutions for our organisation. This includes the collection, storage, and analysis of large data sets from multiple companies, as well as the integration of data into business processes and systems.

Along with working in a strong Data Engineering team on building a world class scalable Data Platform.

Your main functions will include:

• Maintain and improve ETL flows for some of our largest datasets
• Ensure Data reliability
• Manage stakeholder expectations around key datasets
• Implement automation on a legacy 1500 ETL system
• Build, maintain and improve Data models
• Data warehouse design on complex data sets

Qualifications

Your Story

• Strong SQL skills
• At least 3 years experience in relevant field (Data Analytics, Analytics Engineering, Data Engineering)
• ETL tooling (DBT, SSIS, Wherescape etc.)
• Familiarity with data modelling, data warehousing, and data pipeline design
• Strong understanding of data structures, algorithms, and software engineering principles
• Experience with Python

Additional Information

The Perks

• Competitive salary
• Health Insurance
• 25 days of Annual leave (+ Bank holidays)
• Flexible working hours, as long as it suits both you and your team