At a Glance
- Tasks: Design and build robust data pipelines in Azure, migrating data from various legacy systems.
- Company: Join a forward-thinking company focused on data innovation and integration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a collaborative team.
- Why this job: Make a real impact by transforming data processes in a developing Azure environment.
- Qualifications: Experience with Azure Data Engineering and building ETL/ELT pipelines.
The predicted salary is between 58500 - 71500 £ per year.
We are looking for an experienced Data Engineer to support a data migration and integration programme within a relatively low maturity Azure environment.
The role will focus on designing and building robust data pipelines, migrating data from a wide range of legacy and enterprise source systems, and establishing scalable data flows into Azure Data Lake and Databricks.
A key part of the role will also involve integrating data into a proprietary data transformation solution where applicable.
- Key Skills & Experience
- Azure Data Engineering
- Azure Data Factory (ADF)
- Azure Data Lake
- Databricks
- Building ETL / ELT pipelines
- Large-scale data migration and integration
- Oracle and/or Oracle Fusion data sources
- Share Point data extraction and integration
- Working with multiple and varied source systems
- Data transformation, mapping and validation
- Designing data pipelines in environments where architecture and processes are still developing
Key Responsibilities
- Design, build and maintain data migration and ingestion pipelines within Azure.
- Support the setup and development of the Azure Data Lake environment.
- Build integrations between source systems, Azure Data Lake and Databricks.
- Develop and manage pipelines using Azure Data Factory (ADF).
- Extract and migrate data from a variety of source systems, including:
- Oracle
- Oracle Fusion
- Informatica
- Share Point, which will be an initial priority
- Additional enterprise and legacy systems as the programme develops
- Help define scalable data ingestion, transformation and migration patterns for future source systems.
- Support data quality, validation and troubleshooting throughout the migration process.
- Work closely with technical and business stakeholders to understand source data, target structures and transformation requirements.
- Help improve the overall maturity of the Azure data environment, introducing appropriate engineering standards and best practices.
Data Engineer in Milton Keynes employer: GIS Jobs Ltd Careers
At ITV, we pride ourselves on being an exceptional employer that champions inclusivity and innovation. Our vibrant work culture fosters collaboration within agile teams, providing ample opportunities for professional growth and development in the field of digital accessibility. Located at the heart of the media industry, we offer a unique chance to make a meaningful impact on our flagship streaming platforms while enjoying a supportive environment that values diversity and employee well-being.
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We think you need these skills to ace Data Engineer in Milton Keynes
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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