DataOps Engineer

Who You'll Be Working With

As a DataOps Engineer at Capgemini, you will help teams build, run, and continuously improve modern data platforms so they are reliable, secure, and easy to change. You will work across engineering and operations to automate delivery, improve data pipeline observability, and embed good governance so analytics and AI workloads can run at scale.

You will be part of the Data Platforms team that sits within the Insights and Data Global Practice. Data Platforms is home to Data Engineers, Platform Engineers, DevOps Engineers, and Solution Architects who help our clients deliver and operate cloud data platforms on AWS, Azure and GCP, including technologies such as Databricks and Snowflake. As a DataOps Engineer, you will partner closely with engineering and delivery teams to standardise ways of working, improve data application reliability, and enable safe, repeatable releases.

Please Note: 

Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. 
To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.

Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.
Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.

The Focus Of Your Role

As a DataOps Engineer, you will develop and deliver secure, automated and operational solutions across a variety of public sector client systems. You will provide hands-on technical expertise to architect and deliver DataOps capabilities, with a focus on delivering data applications in an automated approach. You will also implement and manage comprehensive monitoring and observability solutions to ensure data quality across the entire data flow, including supporting delivery in air-gapped and other restricted environments.

• Delivering data applications in an automated and continuous fashion. 
• Utilising tools like Airflow for orchestration and automating data pipeline deployments using DevOps tools and techniques (Docker, Containers, Terraform, Kubernetes)
• Building data pipelines using both cloud-native and open-source data tools to deliver self-contained data processing applications. 
• Understanding of data architecture principles and applying this to your delivery work.
• To be comfortable working in air-gapped development environments and deploying in classified environments.

What You'll Bring

You will bring strong DataOps experience delivering secure and automated delivery capabilities in complex, regulated environments. A key differentiator in this role is your ability to focus on the application of containerisation within a data context, rather than the low-level management of the container platform itself. You will be comfortable translating client needs into practical technical designs and then building and operating them, with a focus on repeatability, assurance and continuous improvement. You will communicate clearly with both technical and non-technical stakeholders and be confident providing technical direction.

Key skills required:

• DataOps
• Proficiency in data pipeline orchestration tools
• Containerisation (Docker, EKS, AKS, Kubernetes)
• Proficiency in CI/CD principles and tools
• Familiarity with open-source data tools (e.g., Spark, Kafka, PostgreSQL)
• Infrastructure as Code (Terraform, Ansible)
• Air-gapped development
• Automation
• Client / stakeholder management
• Public sector domain understanding
• Technical architecture

Experience:

• You will have significant experience as a DataOps Engineer delivering DataOps solutions in public sector or similarly regulated environments.
• Developing, orchestrating and maintaining data pipelines using tools like Airflow, Prefect, or Dagster.
• Containerising data applications using Docker and deploying them to Container Platforms (EKS, AKS and Kubernetes).
• Implementing CI/CD pipelines for data applications.
• Monitoring and troubleshooting data pipelines and applications.
• Working with Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible) to provision and manage data infrastructure within pre-existing platforms.
• Optimising data processing for performance and scalability.
• Any relevant certifications are beneficial (e.g. Kubernetes, cloud platform, DataOps).
• Experience delivering in restricted/air-gapped and classified environments, and confident engaging clients and stakeholders while contributing to technical architecture and design decisions.

Additional Information

Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)

What we’ll offer you 

You will be encouraged to have a positive work-life balance.  Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people.  All UK employees are eligible to request flexible working arrangements. 

You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.

Why we’re different 

At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that’s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.
 
Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.