Senior DataOps Engineer (Active SC Clearance)
Posted Today by Exalto Consulting
£625 Per day
Outside
Hybrid
England, United Kingdom
Summary: The Senior DataOps Engineer role requires an individual with active SC Clearance and UK residency to work on a cutting-edge machine learning project for a large government department. The position is primarily remote/hybrid with occasional travel to various offices and customer sites. The contract is initially for six months and focuses on data governance, pipeline construction, and cloud architecture. Strong communication and leadership skills are essential for this role.
Key Responsibilities:
- Develop and manage data pipelines and runners.
- Implement strict quality control and data schema checks.
- Ensure data governance and labelling practices are followed.
- Design and produce detailed cloud architectures.
- Utilize containerization technologies, particularly Kubernetes.
- Support DataOps/Data Engineering for advanced Machine Learning and Data Science teams.
- Communicate effectively and collaborate within a team environment.
Key Skills:
- Active SC Clearance.
- Experience in data governance, labelling, and ontologies.
- Proficiency in building data pipelines.
- Knowledge of DevOps and cloud infrastructure.
- Hands-on experience with containerization technologies, especially Kubernetes.
- Ability to produce quality cloud architectures.
- Strong communication and leadership skills.
Salary (Rate): £625pd
City: undetermined
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
Senior DataOps Engineer (Active SC Clearance) You must hold active and current SC Clearance , be a UK sole nationality and have UK Residency.
Location: Remote/hybrid with occasional travel to offices (North and South) and customer site (South).
Rate: £625pd, outside IR35.
Contract Length: 6 months initially.
This project is at the cutting edge of machine learning, working with a talented team delivering important advances for a large government department.
Essential Skills and Experience; Good experience and understanding of data governance, labelling, ontologies. Building data pipelines and runners. Able to construct strict quality control and data schema checks. Good knowledge of DevOps and cloud infrastructure, and able to produce quality, detailed cloud architectures. Hands on with containerisation technologies, good Kubernetes experience is strongly desirable. Ideally worked providing DataOps / Data Engineering to enable advanced Machine Learning and Data Science Teams. Good communicator. Team player with leadership skills.
Please apply immediately if you hold active and current SC Clearance and have the skills required above, as this is an urgent requirement, you must be able to start the contract in the first week of January.