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Senior DataOps Engineer
£127,185 - 127,185
Peregrine
Whitehall Quay 1, Headingley
£127,185 - 127,185
Requirements
Must:
To confidently work in this role, you will need:
- Demonstrable experience in DataOps, Data Engineering, DevOps, or related roles focused on managing data operations in complex, data-centric environments.
- Proven experience working with agile teams and driving automation of data workflows within the Microsoft Azure ecosystem.
- Hands-on expertise with Azure Data Platform components including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Delta Lake, Azure SQL, Purview, and APIM.
- Proficiency in developing CI/CD data pipelines and strong programming skills in Python, SQL, Bash, and PySpark for automation.
- Strong aptitude for data pipeline monitoring, with an understanding of data security practices such as RBAC and encryption.
- Experience in implementing data and pipeline observability dashboards, ensuring high data quality, and improving the efficiency of data workflows.
- Background in ensuring compliance with regulatory frameworks and implementing robust data governance measures.
- Demonstrated ability to implement Infrastructure as Code using Terraform, to provision and manage data pipelines and associated resources.
Responsibilities
In this pivotal role as a DataOps Engineer, I expect you to:
- Oversee and automate the operational processes that support data workflows developed by the Data Engineering team, ensuring seamless coordination with the DevOps group.
- Spearhead the development, integration, and maintenance of CI/CD data pipelines for automated deployments.
- Integrate best practices for monitoring and observability to proactively detect, analyze, and resolve issues.
- Enforce robust data governance and security protocols through tools like Azure Key Vault, ensuring compliance with standards such as GDPR and other regulatory frameworks.
- Collaborate closely with Data Engineering, Data Science, Analytics, and DevOps teams to align operational strategies with technical and business requirements.
- Optimize operational performance and cost management for services including Azure Data Factory, Azure Databricks, Delta Lake, and Azure Data Lake Storage.
- Serve as the domain expert in DataOps by providing strategic guidance, mentoring colleagues, and driving continuous process improvements.
- Evaluate and adopt emerging technologies and methodologies to further enhance operational efficiency and automation within our data ecosystem.
Description
In addition to your technical skills, I would appreciate if you also:
- Enjoy sharing knowledge and training/upskilling others.
- Have excellent communication and collaboration skills, both with technical and business colleagues.
- Be motivated to learn, upskill, and improve yourself in both technical and relevant complementary soft skills.
It would be beneficial for you to have:
- Proven experience in optimizing and scaling high-volume data operations within enterprise Azure environments.
- Familiarity with Azure services that enhance data operational efficiency and support complex analytics.
- Exposure to Spark-based processing and advanced analytics techniques to further empower data-driven decision-making.
- A track record of successfully mentoring teams and implementing strategic improvements in data operations.
- Demonstrated expertise in cost optimization and performance tuning within an Azure-based data infrastructure.
- Relevant certifications such as Azure Data Engineer Associate, Azure DevOps, Databricks Data Engineer Professional, or equivalent credentials.
- The ability to build and manage the DataOps processes in a newly formed team that is planned to continue expanding over the next few months and years.
If you are an experienced DataOps Engineer and feel you have the desired skills and experience to hit the ground running, we encourage you to apply for this exciting opportunity.
About Us:
At Peregrine, we look beyond the immediate and focus on the horizon. We build lasting, meaningful partnerships with our clients and deliver flexible solutions for every resourcing need, both now and in the future. Together, we help our clients engage, develop, and harness the skills they need to achieve and grow the workforce they want.
Our Culture:
We embrace fresh ideas and love learning quickly. Our solutions are trusted and established, giving us confidence in our solid foundation. We rely on openness and honesty, always ready to help each other out. We believe that our work can positively impact society, whether by finding the digital talent of the future or being a driver for social mobility.
Our Commitment to Diversity:
We are proudly committed to championing diversity and inclusion with company-wide initiatives to drive greater social mobility and reduce our environmental impact. Our teams represent a broad range of cultures, languages, and ethnicities, comprising over 20 different nationalities. We also employ candidates from various educational and socioeconomic backgrounds. Through our partnerships with numerous charities, we stay informed and continue improving our practices for the future, reflecting this commitment in how we recruit for our clients to assist them in becoming more diverse.
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You can find Data Engineer salaries in the UK here.
How many Data Engineer jobs are in the UK?
Currently, there are 1069 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the UK a good place for Data Engineers?
The UK is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the UK?
Equator, u-blox, Defaqto, Dementia UK, BAE Systems, Babcock International, ApplianSys among others, are currently hiring for Data roles in the UK.
The company with most openings is DataAnnotation as they are hiring for 53 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.
The company with most openings is DataAnnotation as they are hiring for 53 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.