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Senior Big Data Engineer

Barcelona, Catalonia

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: full_time
From the employer’s posting
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What you’ll work on

Full posting
  • Design, create, and maintain ETL processes, data integrations, and data pipelines

  • Build high-performance services to process, store, and analyse large datasets

  • Design and implement data validation and quality checks

  • Troubleshoot live production systems and resolve issues quickly

  • Test and adopt new big data technologies

From the employer’s posting
Design, create, and maintain ETL processes, data integrations, and data pipelines
develops high-performance services to efficiently process, store, and analyse large datasets using optimised code
takes the lead in designing and implementing data validation and quality checks
Troubleshoot live production systems is a regular part of the engineer's responsibilities
actively tests and implements new technologies

What you’ll bring

All qualifications

Core experience

  • Strong expertise in big data tools such as Spark, Kafka, NiFi and ClickHouse
  • Expert in extracting large datasets using SQL
  • Strong understanding of schema design and data models
  • Object-oriented programming, ideally in Python and/or Java
  • Strong experience with cloud and/or distributed systems
Qualification wording
Strong level of expertise with big data technologies such as Spark, Kafka, Nifi, ClickHouse and Big Data datastores
Expert in extracting large datasets using SQL
Strong understanding of schema design methodologies and data models
Experience with object oriented programming skills - ideally Python and/or Java
Strong experience with cloud computed and/or distributed systems

Tools in this posting

  • Java
  • Python
  • SQL
  • ClickHouse
  • Kafka
  • Spark
Source — Tool mentions in context
- databases - Experience with object oriented programming skills - ideally Python and/or Java - Strong experience with cloud computed and/or distributed systems
- Strong understanding of schema design methodologies and data models - Expert in extracting large datasets using SQL, familiarity with SQL - databases
Requirements - Strong level of expertise with big data technologies such as Spark, Kafka, Nifi, ClickHouse and Big Data datastores. - Strong understanding of schema design methodologies and data models

Benefits in the posting

Full benefits wording
  • Great career development opportunities
  • Hybrid working model
  • International Health Insurance
  • Health and Wellbeing Package (350 EUR per year)
  • Birthday Day Off
  • Employment type
  • Full Time

From the employer’s posting.

Posting record

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Status in our records
Live
First seen by us
Oct 7, 2026 · 23 days ago
Recorded sightings
23
Last seen by us
Oct 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

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  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

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Job description

View original posting ↗

At GiG we are looking to hire a Senior Big Data Engineer in our Data department. You will assume a pivotal role in taking ownership of the analysis, design, building, support of major realtime big data projects and contribute to
the team's success through code reviews, promoting best practices and
implementing robust solutions across all aspects of big data endeavours. 

Embracing this vital role, the Senior Big Data Engineer is instrumental in driving data-driven excellence, harnessing the power of information for strategic decision-making, and fostering organisational growth and success.

Key Responsibilities

  • Design, create, and maintain ETL processes, data integrations, and data pipelines
  • Ensure seamless handling of vast amounts of data. 
  • Leverage extensive knowledge, the engineer develops high-performance services to efficiently process, store, and analyse large datasets
    using optimised code.
  • Aim to maintain data accuracy and reliability, takes the lead in designing and implementing data validation and quality checks tailored to meet specific business needs. 
  • Troubleshoot live production systems is a regular part of the engineer's responsibilities, ensuring smooth operations and swift issue resolution.
  • Demonstrate an innovative spirit, the engineer actively tests and
    implements new technologies, staying abreast of the latest advancements relevant to current and future projects.

Requirements

  • Strong level of expertise with big data technologies such as Spark, Kafka, Nifi, ClickHouse and Big Data datastores.
  • Strong understanding of schema design methodologies and data models
  • Expert in extracting large datasets using SQL, familiarity with SQL
  • databases
  • Experience with object oriented programming skills - ideally Python and/or Java
  • Strong experience with cloud computed and/or distributed systems

Benefits

  • Great career development opportunities
  • Hybrid working model
  • International Health Insurance
  • Health and Wellbeing Package (350 EUR per year)
  • Birthday Day Off
  • Me Time - 1 day off per year

Employment type

Full Time

Source details

View original posting ↗

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Pay

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Location & working pattern

Barcelona, Catalonia

- Great career development opportunities - Hybrid working model - International Health Insurance
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