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
What you’ll work on
Full postingDesign, 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 qualificationsCore 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
Report an error- Status in our records
- Live
- First seen by us
- Oct 7, 2026 · 22 days ago
- Recorded sightings
- 22
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- 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
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
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Barcelona, Catalonia
- Great career development opportunities - Hybrid working model - International Health Insurance
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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