DataOps Engineer in Bristol

DataOps Engineer in Bristol

Bristol Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Join us as a DataOps Engineer to build and improve modern data platforms.
  • Company: Capgemini, a global leader in tech solutions with a collaborative culture.
  • Benefits: Enjoy flexible working, extensive training opportunities, and a positive work-life balance.
  • Other info: Hybrid working model with opportunities for career growth and innovation.
  • Why this job: Make an impact by automating data delivery and enhancing analytics for public sector clients.
  • Qualifications: Experience in DataOps, containerisation, and CI/CD principles required.

The predicted salary is between 63000 - 77000 £ per year.

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.

The Focus Of Your Role:

  • Develop and deliver secure, automated and operational solutions across a variety of public sector client systems.
  • Provide hands-on technical expertise to architect and deliver DataOps capabilities, with a focus on delivering data applications in an automated approach.
  • Implement and manage comprehensive monitoring and observability solutions to ensure data quality across the entire data flow.
  • Deliver data applications in an automated and continuous fashion.
  • Utilise tools like Airflow for orchestration and automating data pipeline deployments using DevOps tools and techniques (Docker, Containers, Terraform, Kubernetes).
  • Build data pipelines using both cloud-native and open-source data tools to deliver self-contained data processing applications.
  • Understand data architecture principles and apply this to your delivery work.
  • Be comfortable working in air-gapped development environments and deploying in classified environments.

What You'll Bring:

  • Strong DataOps experience delivering secure and automated delivery capabilities in complex, regulated environments.
  • Ability to focus on the application of containerisation within a data context.
  • Comfortable translating client needs into practical technical designs and then building and operating them, with a focus on repeatability, assurance and continuous improvement.
  • Clear communication with both technical and non-technical stakeholders.
  • Confidence 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:

  • 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.
  • Experience delivering in restricted/air-gapped and classified environments.

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.
  • 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.

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.
  • 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.

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.

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.

DataOps Engineer in Bristol employer: Capgemini

Capgemini is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a hybrid working model, employees enjoy the flexibility of blending office, client site, and home working, while also benefiting from extensive growth opportunities and professional development within the Capital Markets sector. Join us to be part of a team that values governance excellence and empowers you to make a meaningful impact in complex programme environments.

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Contact Details:

Capgemini Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land DataOps Engineer in Bristol

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We think you need these skills to ace DataOps Engineer in Bristol

DataOps
Data Pipeline Orchestration
Containerisation (Docker, EKS, AKS, Kubernetes)
CI/CD Principles and Tools
Open-source Data Tools (e.g., Spark, Kafka, PostgreSQL)
Infrastructure as Code (Terraform, Ansible)
Automation

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