DataOps Engineer-1

Smart DCC
Manchester
2 months ago
Create job alert

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. 

Related Jobs

View all jobs

DataOps Engineer-1

Senior DataOps Engineer

Senior DataOps Engineer

AWS Data Engineer

Data Ops Engineer

Machine Learning Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.