Olive Jar Digital Logo

Olive Jar Digital

Data Engineer

Reposted 5 Days Ago
Remote
Hiring Remotely in United Kingdom
Mid level
Remote
Hiring Remotely in United Kingdom
Mid level
The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.
The summary above was generated by AI
6 Month Fixed-Term Contract
UK-wide
Remote

About the role
We are seeking an experienced Data Engineer to support the delivery of a Master Data Management (MDM) initiative and associated data governance and metadata management activities.
The role focuses on implementing scalable data pipelines, metadata management, and data quality solutions within Azure and Microsoft Purview environments. You will work closely with data governance and architecture teams to design and build robust data engineering capabilities that underpin organisational data management and reporting.

 

About Olive Jar Digital
As we grow, we empower our teams to develop their roles and functions and offer support to get you from where you are now, to where you want to be. Moving towards our 11th year, we are now an established brand, building digital products and services and championing the provision of expert talent to enhance customer and in-house teams, satisfying all user needs.
We are a professional, fun, fully Inclusive and diverse digital consultancy, valuing everyone’s opinion. With a huge growth plan over the next two years, we are looking to expand our client facing delivery team with designers, developers, and testers as we continue to expand our project portfolio.

Responsibilities

  • Design, build, and optimise data pipelines for ingestion, transformation, and delivery across structured and unstructured sources.
  • Develop and maintain metadata capture processes to support data cataloguing and lineage. Implement and document data quality rules, retention policies, and data optimisation processes.
  • Support large-scale deployment and configuration of Microsoft Purview.
  • Establish automated scanning and metadata ingestion for source systems.
  • Configure data lineage, glossary, and metadata structures to align with governance and compliance standards (UK GDPR, ISO 27001).
  • Assess current data platform performance; identify and resolve bottlenecks across ingestion, processing, query, and reporting layers.
  • Conduct benchmarking (e.g., latency, throughput, cost efficiency) and implement storage/DQ optimisations.
  • Develop and apply storage tiering and retention strategies.
  • Collaborate with Data Governance and Data Quality teams to ensure consistency, accuracy, and compliance.
  • Contribute to documentation and knowledge transfer for data engineering and digital services teams.
  • Participate in agile delivery ceremonies, workshops, and technical review sessions.

About You
  • Strong experience in data engineering within cloud environments, ideally Azure.
  • Proficiency in data pipeline development (e.g., Azure Data Factory, Databricks, Synapse, or similar).
  • Experience implementing and managing Microsoft Purview or equivalent data cataloguing tools.
  • Solid understanding of metadata management, data lineage, and data quality frameworks. Knowledge of data governance principles, including GDPR compliance and data retention policy design.
  • Strong experience in SQL, Python, or PySpark for data manipulation and integration.
  • Proven ability to optimise performance and manage large data volumes efficiently.
  • Experience working in agile delivery environments with cross-functional data teams.
HQ

Olive Jar Digital London, England Office

69 Wells street, First Floor, , London , London, United Kingdom, W1T 3QB

Similar Jobs

Yesterday
In-Office or Remote
Entry level
Entry level
Digital Media • Gaming • Software • Esports • Automation
Build, migrate, and maintain regulatory reporting systems on GCP/BigQuery. Develop automated ETL/ELT pipelines, support legacy SQL Server migrations, implement validation/monitoring, use IaC and CI/CD, and apply AI-assisted tooling to improve automation and reliability.
Top Skills: Claude CodeCloud ComposerCloud FunctionsCloud StorageEltETLGitGitlabGoogle BigqueryGoogle Cloud PlatformPub/SubSQLSQL ServerTerraform
7 Days Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Senior Data Engineer on PwC's Managed Data, Analytics & Insights team to design, build and manage advanced data ecosystems. Responsibilities include designing data solutions and scalable pipelines, solving complex problems, mentoring junior staff, maintaining high delivery standards, and building client relationships while aligning solutions to business context.
Top Skills: DatabricksKafka
Yesterday
Remote
United Kingdom
Mid level
Mid level
Information Technology • Software
Build, optimise and stabilise AWS-based data pipelines (S3, Glue, Redshift, Lake Formation). Resolve technical debt, support the Architect on target-state design, collaborate with client engineering teams to transfer knowledge, and deliver production-ready platforms in regulated, high-volume gaming environments.
Top Skills: AWSGlueLake FormationLakehousePythonRedshiftS3SQL

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account