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Data Engineer

Barcelona · Barcelona, Spain

Live, first seen by us 61 days ago
Pay
Pay not listed
Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
R&D › Engineering — team source
Department: R&D › Engineering
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Do you require visa sponsorship or a visa transfer?
From the employer’s application form

What you’ll work on

Full posting
  • Lead improvements to data architecture using Data Mesh principles

  • Develop, scale and maintain the cloud data platform infrastructure

  • Lead data lineage and governance practices across the organisation

  • Build custom ETL pipelines, detect anomalies and create optimised aggregations

  • Support the Product and Engineering organisation with its data needs

From the employer’s posting
Take a leading role in the improvement of our Data architecture by applying Data Mesh principles.
Develop, scale, maintain and deploy our data platform infrastructure in the cloud.
Take a leading role in applying Data Lineage and Governance throughout the organisation.
Develop custom ETL pipelines, detect anomalies, and create optimised aggregations for analysis and dash boarding.
Support the entire Product & Engineering organisation in their data needs.

What you’ll bring

All qualifications

Core experience

  • 5+ years of data engineering experience
  • Experience designing data platforms and making architectural decisions
  • Hands-on work with Spark and Kafka data pipelining tools
  • Experience with AWS data services such as S3, Glue, Athena and EMR
  • Experience with Airflow, Snowflake and Terraform
Qualification wording
Minimum of 5+ years of Data Engineering experience
Designing Data Platforms and taking architectural decisions, leading the way towards better data ecosystems.
Using industry standard data pipelining tools (Spark, Kafka).
Working with AWS (S3, Glue, Athena, EMR, etc.).
Using data/task orchestration tools (Airflow).
Apply at Bynder

Posting record

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Status in our records
Live
First seen by us
Sep 4, 202661 days ago
Recorded sightings
49
Last seen by us
Nov 4, 2026

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

How this job compares

Time since we first saw it

Day 61

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 10,805 similar postings that came down. Coming down is not always a hire.

Bynder is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • AWS
  • Kafka
  • S3
  • Snowflake
  • Spark
  • Terraform
  • Airflow
Where the posting names them
- Using industry standard data pipelining tools (Spark, Kafka). - Working with AWS (S3, Glue, Athena, EMR, etc.). - Using data/task orchestration tools (Airflow).
- Developing data flows for the processing of data at scale. - Using industry standard data pipelining tools (Spark, Kafka). - Working with AWS (S3, Glue, Athena, EMR, etc.).
- Using data/task orchestration tools (Airflow). - Cloud computing-based data cloud solutions (Snowflake). - Using infrastructure-as-code solutions (Terraform).
- Cloud computing-based data cloud solutions (Snowflake). - Using infrastructure-as-code solutions (Terraform). - Partnering with cross-functional teams of engineers, data scientists and devops in defining a modern data architecture.
- Working with AWS (S3, Glue, Athena, EMR, etc.). - Using data/task orchestration tools (Airflow). - Cloud computing-based data cloud solutions (Snowflake).

Your next step

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

At Bynder, we don’t just store creative assets; we enable brands to deliver exceptional content experiences that drive business impact.

In an era of exploding content volume and complexity, the world’s most iconic brands, including Spotify, Campari, and Lacoste, trust Bynder as their single source of truth for creative content. Our industry-leading DAM platform serves as the strategic engine for brand governance and control.

We are leading the shift from management to AI-powered content orchestration. By integrating human-led, customizable AI Agents directly into our enterprise-grade infrastructure, we enable brands to augment their workforce and intelligently automate high-effort workflows without sacrificing brand integrity. We turn creative content into intelligent assets that accelerate personalization and drive measurable business outcomes.

Ready to grow your career by helping the world’s leading brands deliver exceptional content experiences? Join our global team of 600+ ‘Byndies’ and help 4,000+ organizations work smarter with their content. Explore this opportunity and apply now to join our team.

As a Data Engineer at Bynder you will work closely with Data Analysts, Data Scientists, Software Engineers and DevOps Engineers, and anyone who uses data driven insights in their work. We are looking for someone who will help us develop data pipelines and build self-serve data tools for our internal stakeholders and customers. In this role you will see the direct impact of your work on our initiatives in improving the Bynder product, growing the customer base, and providing insights to our internal stakeholders.


What will you do

  • Take a leading role in the improvement of our Data architecture by applying Data Mesh principles.

  • Develop, scale, maintain and deploy our data platform infrastructure in the cloud.

  • Take a leading role in applying Data Lineage and Governance throughout the organisation.

  • Support the entire Product & Engineering organisation in their data needs.

  • Develop custom ETL pipelines, detect anomalies, and create optimised aggregations for analysis and dash boarding.


What will you bring as a Data Engineer

Minimum of 5+ years of Data Engineering experience and furthermore hands-on experienced in:

  • Experienced fully in AI Native development.

  • Designing Data Platforms and taking architectural decisions, leading the way towards better data ecosystems.

  • Knowledge and experience in Data Mesh.

  • Knowledge and experience in Data Governance and Data Lineage best practices.

  • Developing data flows for the processing of data at scale.

  • Using industry standard data pipelining tools (Spark, Kafka).

  • Working with AWS (S3, Glue, Athena, EMR, etc.).

  • Using data/task orchestration tools (Airflow).

  • Cloud computing-based data cloud solutions (Snowflake).

  • Using infrastructure-as-code solutions (Terraform).

  • Partnering with cross-functional teams of engineers, data scientists and devops in defining a modern data architecture.


What will you bring as a colleague

  • A critical thinking mindset and the courage to speak your mind.

  • A growth mindset and the determination to improve yourself and others.

  • Great communication skills in English.

What we have

  • Challenging and inspiring work environment

  • Learning and Development budget

  • Commuting budget

  • Mental Health and Well-being Support

  • Bynder Love "stipend”

  • Unlimited vacation policy

  • Volunteer Time Off

  • Team and Company activities

  • Complimentary Lunches and Snacks


Our Commitment:
Bynder Love is the principle that guides the way we grow our teams, support our employees, and celebrate our differences. At Bynder we strive to create a culture that embraces every Byndie because differences in background, experience, and perspective makes Bynder even better. At Bynder a diverse, inclusive, and equitable workplace is one where all employees, whatever their ethnicity, color, sex, age, religion, disability, sexual orientation, gender identity, national origin or physical and mental ability are valued and respected. Our commitment is for all Byndies to have the freedom to be their true authentic selves.

Just as we are never finished innovating, Bynder’s dedication to being An Even Better Bynder is a constant, evolving commitment that includes education, listening, and action.

#LI-Hybrid #LI-MF1

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Location & working pattern

Barcelona, Spain

Just as we are never finished innovating, Bynder’s dedication to being An Even Better Bynder is a constant, evolving commitment that includes education, listening, and action. #LI-Hybrid #LI-MF1
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