

SThree
Senior Data Engineer (GCP & Analytics) - Hybrid - London
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (GCP & Analytics) in London, offering a hybrid work model. It requires 9+ years of data engineering experience, strong SQL skills, GCP expertise, and familiarity with analytics tools like Power BI.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
April 24, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
London, England, United Kingdom
-
π§ - Skills detailed
#Data Pipeline #Data Engineering #DAX #"ETL (Extract #Transform #Load)" #Azure cloud #Data Framework #Terraform #GCP (Google Cloud Platform) #Scala #SQL (Structured Query Language) #Azure #Power Pivot #Visualization #API (Application Programming Interface) #BI (Business Intelligence) #Python #Security #Databases #Java #Cloud #DevOps #Microsoft Power BI #RDBMS (Relational Database Management System) #Spark (Apache Spark) #Dataflow #NoSQL #BigQuery
Role description
Responsibilities
We are looking for a Senior Data Engineer to take end-to-end ownership of modern data products within a cloud-based analytics platform. You will design, build, optimize, and support scalable data pipelines while championing DevOps practices, technical quality, and continuous improvement. Key Responsibilities:
β’ Own the full lifecycle of data products (build, optimize, support)
β’ Design efficient data models and pipelines for analytics use cases
β’ Drive DevOps best practices (CI/CD, Terraform, cloud infrastructure)
β’ Reduce technical debt and improve engineering standards
β’ Develop data-centric and API-based solutions using Python, Java, or Scala
β’ Collaborate closely with analytics, BI, and business stakeholders
β’ Support reporting and visualization use cases
Required Experience
β’ 9+ years experience in data engineering
β’ Strong data modelling and SQL expertise
β’ Experience with ETL/ELT, RDBMS, and NoSQL databases
β’ Hands-on experience with GCP: BigQuery, Dataflow, Dataproc, Cloud Functions
β’ Experience with data frameworks: Spark, Beam, Hive, or Flink
β’ Familiarity with data formats such as Parquet and Avro
Analytics & BI
β’ Experience with Power BI or similar tools
β’ Ability to build intermediate DAX measures
β’ Working knowledge of Power Query, Power Pivot, Excel analytics
Nice To Have
β’ GCP or Azure Data Engineering certification
β’ Azure cloud experience
Interested?Share your updated CV via L.barisic(at)globalenterprisepartners.com or call +31205305801 Let op: vacaturefraude Helaas komt vacaturefraude steeds vaker voor. We waarschuwen je voor mogelijke misleiding:
β’ Wij zullen nooit via WhatsApp of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN).
β’ Twijfel je over de echtheid van een vacature of contactpersoon? Neem dan altijd rechtstreeks contact met ons op via de officiΓ«le contactgegevens op onze website. Important: job fraud Unfortunately, job fraud is becoming more common. Beware of such scams:
β’ We will never ask for personal information (such as a copy of your ID, bank details, or social security number) via WhatsApp or during a video call.
β’ If you're unsure whether a vacancy or contact person is legitimate, please reach out to us directly using the official contact details on our website.
Responsibilities
We are looking for a Senior Data Engineer to take end-to-end ownership of modern data products within a cloud-based analytics platform. You will design, build, optimize, and support scalable data pipelines while championing DevOps practices, technical quality, and continuous improvement. Key Responsibilities:
β’ Own the full lifecycle of data products (build, optimize, support)
β’ Design efficient data models and pipelines for analytics use cases
β’ Drive DevOps best practices (CI/CD, Terraform, cloud infrastructure)
β’ Reduce technical debt and improve engineering standards
β’ Develop data-centric and API-based solutions using Python, Java, or Scala
β’ Collaborate closely with analytics, BI, and business stakeholders
β’ Support reporting and visualization use cases
Required Experience
β’ 9+ years experience in data engineering
β’ Strong data modelling and SQL expertise
β’ Experience with ETL/ELT, RDBMS, and NoSQL databases
β’ Hands-on experience with GCP: BigQuery, Dataflow, Dataproc, Cloud Functions
β’ Experience with data frameworks: Spark, Beam, Hive, or Flink
β’ Familiarity with data formats such as Parquet and Avro
Analytics & BI
β’ Experience with Power BI or similar tools
β’ Ability to build intermediate DAX measures
β’ Working knowledge of Power Query, Power Pivot, Excel analytics
Nice To Have
β’ GCP or Azure Data Engineering certification
β’ Azure cloud experience
Interested?Share your updated CV via L.barisic(at)globalenterprisepartners.com or call +31205305801 Let op: vacaturefraude Helaas komt vacaturefraude steeds vaker voor. We waarschuwen je voor mogelijke misleiding:
β’ Wij zullen nooit via WhatsApp of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN).
β’ Twijfel je over de echtheid van een vacature of contactpersoon? Neem dan altijd rechtstreeks contact met ons op via de officiΓ«le contactgegevens op onze website. Important: job fraud Unfortunately, job fraud is becoming more common. Beware of such scams:
β’ We will never ask for personal information (such as a copy of your ID, bank details, or social security number) via WhatsApp or during a video call.
β’ If you're unsure whether a vacancy or contact person is legitimate, please reach out to us directly using the official contact details on our website.






