National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

DataOps Engineer-1

Smart DCC
Manchester
3 months ago
Applications closed

Related Jobs

View all jobs

DataOps Engineer-1

Machine Learning Engineer

Data Science Engineer

Machine Learning Consultant

The role

Manchester Based

(Hybrid working model, 2 days a week office based, 3 days remote)

Competitive Salary plus performance related bonus

The Role:

As a Data Ops Engineer, you will be responsible for enhancing the efficiency and reliability of our data management processes, supporting our advanced analytics, machine learning, and AI initiatives. You will harness your engineering skills to develop and automate data pipelines, ensuring data is seamlessly integrated, processed, and available across our analytics platforms.

Your role will include automating data workflows, improving data quality, and ensuring efficient delivery pipelines. You will work alongside teams across the organization to address their data needs, craft agile solutions, and continuously improve the data environment.

What will you be doing?

Data Pipeline Development:Design and implement efficient ETL processes for data extraction, transformation, and loading. Build real-time data processing pipelines using platforms like Apache Kafka or cloud-native tools. Optimize batch processing workflows with tools like Apache Spark and Flink for scalable performance.Infrastructure Automation:Implement Infrastructure as Code (IaC) using tools like Terraform and Ansible. Leverage cloud-native services (AWS, Azure) to streamline data operations and reduce effort. Integrate cloud-based data services with data lakes and warehouses.CI/CD Pipelines & Testing:Build and automate CI/CD pipelines with Jenkins, GitLab CI/CD, or Apache Airflow. Develop automated test suites for data pipelines, ensuring data quality and transformation integrity.Monitoring & Performance Optimization:Monitor data pipelines with tools like Prometheus and Datadog to ensure optimal performance and health. Proactively implement anomaly detection and optimize system performance and resource allocation.Collaboration & Continuous Improvement:Collaborate with cross-functional teams to align DataOps practices with organizational goals. Apply agile methodologies, actively participating in sprint planning and retrospectives. Continuously optimize workflows and processes to increase efficiency.

What are we looking for?

Advanced proficiency with databases (SQL Server, Oracle, MySQL, PostgreSQL). Expertise in building and managing data pipelines and data processing workflows. Strong understanding of data warehousing concepts, schema design, and data modelling. Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) for scalable data infrastructure. Proficiency in DevOps practices, including CI/CD pipelines, automation, and configuration management. Strong scripting skills in languages like Python, Bash, or PowerShell. Ability to collaborate with cross-functional teams (data engineers, data scientists, business stakeholders). Excellent communication skills, able to explain complex technical concepts to non-technical teams. Problem-solving mindset and a passion for optimizing and streamlining data processes.

It Would Be Great If You Also Had:

A degree in a business, STEM, or related field (or equivalent experience). Experience working in regulated industries.

About the DCC:

At the DCC, we believe in making Britain more connected, so we can all lead smarter, greener lives. That desire to make a difference is what drives us every day and it wouldn’t be possible without our people. Each person at the DCC brings a special kind of power to the business, and if you join us, we’ll give you the means to unleash yours. Here, we depend on each other and hold each other accountable. You have the power to challenge and make change, to take the initiative and enjoy real responsibility. Whether it’s doing purposeful work, helping us grow or building the career you want – we’ll give you the support to do it all. Our secure network for smart meters is transforming Britain’s energy system and helping the country’s fight against climate change: we want you to be part of our journey.

Company benefits:

The DCC’s continued success depends on our people. It’s important to us that you enjoy coming to work, and feel healthy, happy and rewarded. In this role, you’ll have access to a range of benefits which you can choose from to create a personalized plan unique to your lifestyle.

If there are any questions you’d like to ask before applying, please contact or complete your application, so we can learn more about you. Your application will be carefully considered, and you’ll hear from us regarding its progress.

Join the DCC and discover the power of you.

What to do now

Choose ‘Apply now’ to fill out our short application, so that we can find out more about you.

As a Disability Confident member, DCC is committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments, need a copy of this job advert in an alternative format, or have any other questions you’d like to ask before applying, please contact

Please click for the Capita statement.

Smart together

Our values and behaviours

Make a difference

We believe in our purpose. Together, we work as one team, always looking for ways to improve and support DCC’s role in a low-carbon future.

Act with integrity

We treat everyone with kindness, consideration and respect. We keep our promises to our customers. And if something doesn’t feel right, we speak up.

Be accountable

You can depend on our word. We’re clear about our roles and we take the initiative, while respecting the processes we have in place.

Rewards & Benefits

Get perks that work

Personal Development

Our training and development opportunities help you be your best self – from regular 1-2-1s all the way up to professional qualifications.

Group income protection

Provides a continuous income if you're unable to work due to illness or injury for more than 26 weeks.

Pension Plans

Our Capita Choice partners will match the salary contributions you make to your pension up to 5%, depending on your plan and time with us.

Flexible Holidays

Need more time off? Increase your standard 25 days of leave by buying extra to rest, spend time with family or satisfy your wanderlust.

Cycle to Work Scheme

We’re big on keeping things green. If you want to cycle to work, we'll loan you the gear through salary sacrifice to make it tax-efficient.

Flexible working

As we all transition to a new normal, we can help you find the hybrid working pattern that suits you and your team best. 

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.