Posted by Launchmetrics is hiring a Data Engineer for its Data Platform and Data Enrichment teams, with the position listed in Girona, Spain, and remote working available. The role is offered on a permanent basis and focuses on designing, building, and improving data pipelines that support Launchmetrics’ data products.
The successful candidate will work with technologies including Python, PySpark, Databricks, Delta Lake, AWS S3, and other cloud services. This article covers the Data Engineer job requirements, technical skills, responsibilities, benefits, and recruitment process.
Job Overview
- Job Title: Data Engineer
- Company: Launchmetrics
- Location: Girona, Spain
- Employment Type: Permanent
- Work Arrangement: Remote
- Job Category: Data Platform and Data Engineering
- Experience: 3+ years of relevant work experience
- Education: Engineering Degree or Master’s Degree in Computer Science
- Primary Technologies: Python, PySpark, Databricks, Delta Lake, AWS
- English: Fluent written and spoken English required
About Launchmetrics
Launchmetrics is a Brand Performance Cloud serving executives in the Fashion, Lifestyle and Beauty industries. The company has more than a decade of industry experience and works with more than 1,200 customers.
Founded in New York City and headquartered operationally in Paris, Launchmetrics has employees across ten markets and provides support in five languages. Its technology is used by brands including Dior, Fendi, Shiseido, NET-A-PORTER and Adidas, as well as industry partners.
The company’s engineering teams are distributed internationally and work on modern applications and cloud-based systems.
Data Engineer Job Description
The Data Engineer will join Launchmetrics’ Data Platform and Data Enrichment teams. These teams are responsible for making the company’s unified database accessible, reliable, usable, and capable of supporting enrichment activities across the organization.
The role involves working with a Databricks-based Lakehouse built using Delta Lake and AWS S3. The platform follows a Bronze, Silver and Gold architecture and supports data products including Discover, Genie and Delta Sharing.
The Data Engineer will contribute to data pipeline development, data architecture, reliability improvements and cross-team initiatives. The position also plays an important role in supporting customer retention, data reliability and the development of AI-based insights.
Key Responsibilities
The Data Engineer will be responsible for:
- Designing and developing batch and near-real-time data pipelines using PySpark and Databricks.
- Working across Bronze, Silver and Gold layers of the data platform.
- Designing efficient Delta Lake table schemas, including partitioning and liquid clustering strategies.
- Managing schema evolution and data enrichment workflows.
- Collaborating with product, QA and other data engineers to turn requirements into dependable data pipelines.
- Maintaining code quality through structured PySpark development and unit testing with pytest.
- Improving pipeline reliability and controlling infrastructure costs.
- Working with retry and backoff mechanisms and concurrency management.
- Contributing to initiatives involving different product and engineering pods.
Technical Skills and Technology Stack
Candidates should be comfortable working with the technologies used across the data platform, including:
- Python
- PySpark
- TypeScript
- Databricks
- Delta Lake
- Delta Sharing
- AWS S3
- MySQL
- AWS Kinesis
- AWS Lambda
- AWS SQS
- AWS ECS
- AWS Step Functions
- Jira
- Databricks Asset Bundles
- Serverless technologies
- Claude Code
- Git and GitHub
- GitHub Actions
- pytest
- Jest
Data Engineer Qualifications and Requirements
Applicants for this Data Engineer job should meet the following requirements:
- An Engineering Degree or Master’s Degree in Computer Science.
- At least three years of relevant professional experience in full-stack development within a SaaS environment.
- Strong experience with Python and PySpark.
- Experience with distributed data processing at scale.
- Experience with Lakehouse architecture, including Databricks and Delta Lake, or comparable technologies such as Spark on EMR or Glue.
- Familiarity with Bronze, Silver and Gold medallion architecture or similar layered data designs.
- Understanding of schema evolution, partitioning and clustering strategies.
- Knowledge of pipeline reliability concepts such as retries and idempotency.
- Ability to understand and follow logical sequences in procedural and object-oriented code.
- Ability to work effectively in a fast-paced and results-oriented environment.
- Strong self-motivation and the ability to work independently.
- Ability to estimate workloads, divide tasks into logical steps and solve technical problems.
- Willingness to continuously improve processes and propose new approaches.
- Fluent English communication skills, including speaking, reading and writing.
Salary and Benefits
The job listing does not provide a specific salary for the Data Engineer position.
Launchmetrics states that employees receive a range of benefits and development opportunities, including:
- A learning and development allowance.
- A benefits package tailored to the employee’s location.
- Flexible working arrangements.
- Support for setting up a home office.
- Opportunities for professional growth and development.
- A remote-friendly working environment with hubs across its markets.
The company also describes its workplace as autonomous and collaborative, with employees working through small teams known as pods that own specific missions and outcomes.
Who Should Apply?
This Data Engineer opportunity is suited to an experienced technology professional with a strong background in Python, PySpark and large-scale data processing. Candidates should have experience with Lakehouse environments and be comfortable working with technologies such as Databricks and Delta Lake.
The role may also suit candidates who enjoy solving complex technical problems, working independently, collaborating across teams and contributing to improvements in data platform reliability and efficiency.
Strong English communication skills are required, along with a relevant Computer Science degree and at least three years of relevant experience.
Frequently Asked Questions
What is the job title?
The position is for a Data Engineer with Launchmetrics.
Where is the Data Engineer position located?
The position is listed in Girona, Spain, with remote working available.
Is the Data Engineer job permanent?
Yes. The listing states that the position is offered on a permanent contract.
What education is required?
Candidates are expected to have an Engineering Degree or Master’s Degree in Computer Science.
How much experience is required?
The listing requires at least three years of relevant work experience in full-stack development within a SaaS environment.
What technical skills are required?
Strong Python and PySpark experience is required, together with experience in distributed data processing. Candidates should also have experience with Lakehouse architecture and familiarity with technologies such as Databricks and Delta Lake.
Is English required for this position?
Yes. Candidates must be fluent in speaking, reading and writing English.
What is the recruitment process?
The recruitment process includes an introductory call with Talent Acquisition, a meeting with the VP of Software Development, a technical interview with Software Engineers, and a team-fit discussion with engineers and peers.
How to Apply
Interested candidates who meet the required qualifications and experience criteria should submit their application.
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