Senior Data Engineer
Esplugues de Llobregat, Spain, Barcelona
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting- 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 postingTurn business and stakeholder requirements into technical solution designs
Design and build scalable ETL/ELT pipelines, data models and downstream integrations
Own technical delivery of data solutions, including ongoing support
Write clear design documentation for technical audiences across teams
Mentor junior colleagues and provide technical guidance across the data organisation
From the employer’s posting
Gather and interpret business and stakeholder requirements, translating them into effective technical solution designs.
Design and develop scalable, robust, and secure data solutions, including ETL/ELT pipelines, data models, and integrations with downstream systems.
Take technical ownership and accountability for the successful delivery of data solutions.
Create clear, comprehensive design documentation for technical audiences across multiple teams.
Provide technical guidance, support, and mentoring to junior colleagues and wider teams across the data organisation.
Tools in this posting
- Python
- SQL
- AWS
- Azure
- BigQuery
- Databricks
- GCP
- Snowflake
Source — Tool mentions in context
- Hands-on experience with modern cloud platforms, preferably AWS, with Azure and/or GCP experience also beneficial. - Strong experience in data processing using ETL/ELT methodologies and tools such as Matillion, AWS services, and Python. - Experience working with modern cloud-based Data Warehouses and Data Platforms, including Snowflake, Databricks, BigQuery, or equivalent technologies.
- Experience working with modern cloud-based Data Warehouses and Data Platforms, including Snowflake, Databricks, BigQuery, or equivalent technologies. - Advanced SQL expertise, including Data Manipulation Language (DML) and Data Definition Language (DDL). - Proven ability to quickly learn and adapt to new technologies, concepts, and ways of working.
- 5+ years’ experience delivering data solutions within a commercial environment. - Hands-on experience with modern cloud platforms, preferably AWS, with Azure and/or GCP experience also beneficial. - Strong experience in data processing using ETL/ELT methodologies and tools such as Matillion, AWS services, and Python.
- Strong experience in data processing using ETL/ELT methodologies and tools such as Matillion, AWS services, and Python. - Experience working with modern cloud-based Data Warehouses and Data Platforms, including Snowflake, Databricks, BigQuery, or equivalent technologies. - Advanced SQL expertise, including Data Manipulation Language (DML) and Data Definition Language (DDL).
Posting record
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- Live
- First seen by us
- Oct 7, 2026 · 24 days ago
- Recorded sightings
- 24
- Last seen by us
- Oct 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
As a Senior Data Engineer, you are responsible for end-to-end delivery of automated data processing solutions, from inception to delivery and ongoing support.
Responsibilities
- Gather and interpret business and stakeholder requirements, translating them into effective technical solution designs.
- Create clear, comprehensive design documentation for technical audiences across multiple teams.
- Take technical ownership and accountability for the successful delivery of data solutions.
- Collaborate with stakeholders, team members, and cross-functional business teams to deliver solutions.
- Accurately estimate, prioritise, and deliver work in a fast-paced commercial environment.
- Design and develop scalable, robust, and secure data solutions, including ETL/ELT pipelines, data models, and integrations with downstream systems.
- Partner with Data Engineering and Architecture colleagues to evolve, operate, and enhance the Data Platform in line with the platform roadmap.
- Drive adoption of best practices and continuous improvement initiatives, ensuring alignment with industry standards.
- Provide technical guidance, support, and mentoring to junior colleagues and wider teams across the data organisation.
Skills and Experience
- 5+ years’ experience delivering data solutions within a commercial environment.
- Hands-on experience with modern cloud platforms, preferably AWS, with Azure and/or GCP experience also beneficial.
- Strong experience in data processing using ETL/ELT methodologies and tools such as Matillion, AWS services, and Python.
- Experience working with modern cloud-based Data Warehouses and Data Platforms, including Snowflake, Databricks, BigQuery, or equivalent technologies.
- Advanced SQL expertise, including Data Manipulation Language (DML) and Data Definition Language (DDL).
- Proven ability to quickly learn and adapt to new technologies, concepts, and ways of working.
- Experience producing high-quality technical documentation throughout the full solution delivery lifecycle.
- Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
- Experience working within fast-paced, cross-functional project delivery environments.
- Strong planning and estimation skills, with a track record of delivering work to agreed timelines.
- Excellent verbal and written communication skills in English.
Equal Opportunities
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
Esplugues de Llobregat, Spain, Barcelona
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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