Data Ops Engineer

Moss Nook
5 days ago
Create job alert

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

Competitive Salary plus performance related bonus

Role Overview:

In this pivotal role, you will utilize your engineering expertise to streamline data processes, ensuring that our data is managed effectively, efficiently, and reliably across platforms. Your contributions will directly enhance our advanced analytics capabilities, promoting faster insights, and driving innovation in data practices. You’ll work closely with teams across the organization, creating agile and scalable solutions that directly influence our data science and analytics goals.

What You’ll Be Doing:

  1. Data Pipeline Development:

  • Design and implement complex ETL processes to extract, transform, and load data efficiently from diverse sources.

  • Develop real-time data processing pipelines using Apache Kafka or cloud-native streaming technologies.

  • Optimize batch processing workflows using distributed frameworks like Apache Spark and Apache Flink.

  1. Infrastructure Automation:

  • Implement Infrastructure as Code (IaC) to provision, configure, and manage cloud resources using Terraform, Ansible, and more.

  • Leverage cloud-native services (AWS, Azure) to enhance DataOps practices and reduce manual effort.

  1. Continuous Integration and Deployment (CI/CD):

  • Develop automated testing for data pipelines, validating business logic and data quality.

  • Orchestrate CI/CD pipelines with tools such as Jenkins, GitLab CI/CD, or Apache Airflow for data engineering workflows.

  1. Monitoring and Alerting:

  • Implement real-time monitoring with tools like Prometheus and Grafana to track pipeline health and performance.

  • Set up anomaly detection and alerting to proactively address issues in data latency and pipeline failures.

  1. DevOps Collaboration:

  • Collaborate cross-functionally with DevOps, data engineers, and business teams to promote DataOps best practices.

  • Engage in agile methodologies, including Scrum or Kanban, to prioritize tasks and drive continuous improvement.

  1. Performance Optimization:

  • Optimize SQL queries and distributed computing jobs for better performance.

  • Manage and optimize cloud resources to improve cost-efficiency and performance.

  1. Continuous Improvement:

  • Stay up-to-date with industry trends and enhance your skills through certifications and conferences.

  • Suggest and implement process improvements to streamline DataOps workflows and enhance productivity.

    What Are We Looking For?

  • Experience: Proficiency with database technologies (SQL Server, Oracle, MySQL, PostgreSQL).

  • Technical Skills: Expertise in data pipeline development, cloud platforms (AWS, Azure, Google Cloud), and DevOps practices.

  • Programming: Strong scripting skills in Python, Bash, or PowerShell.

  • Collaboration: Ability to work with cross-functional teams to design and deliver data solutions.

  • Communication: Excellent skills to translate complex technical concepts to non-technical stakeholders.

  • Problem-Solving: Strong troubleshooting and optimization capabilities for data systems and infrastructure.

    Desirable Skills & Experience:

  • Education: University degree or equivalent experience in a STEM field.

  • Industry Experience: Experience working in a regulated industry is a plus.

    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.

    Please 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

Related Jobs

View all jobs

Senior Data Engineer

Software Engineer Lead

Data Operations Engineer

Data Scientist

Data Science Consultant - Gen-AI

Data-Driven Forecasting Analyst – (Pharmaceutical Consultancy)

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.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.