Data Quality Engineer (Belfast)

aPriori Technologies
Belfast
1 week ago
Create job alert

Description


The Data Quality Engineer plays a crucial role in ensuring the integrity, accuracy, and reliability of our organization's data assets. This position combines technical expertise with strong collaborative skills to implement and maintain data quality standards across the enterprise.


Key Responsibilities:

  • Data Quality Framework: Develop and implement a comprehensive data quality framework, including defining data quality metrics, setting up data quality checks, and automating quality monitoring
  • SLA and Data Contract Enforcement: Work with domain data owners and DPOs to ensure adherence to SLAs and data contracts, and monitor data quality against these agreements
  • Data Analysis: Conduct in-depth data analysis to identify data quality issues, anomalies, and inconsistencies
  • Data Validation: Develop and execute data validation rules and tests to ensure data accuracy and adherence to data standards via unit testing and automated testing
  • Cloud Platform Expertise: Utilize AWS/GCP services to build and maintain data estate
  • Alerting and Monitoring: Set up alerts and monitoring systems to proactively identify and address data quality issues
  • Collaboration and Communication: Effectively communicate with stakeholders, including data engineers, data analysts, and business users, to understand their data needs and resolve data quality issues.


Requirements

  • Strong understanding of data quality principles and best practices
  • Experience with data engineering, data warehousing and data mesh concepts
  • Ability to work independently and as part of a team
  • Strong analytical and problem-solving skills
  • Excellent communication and interpersonal skills


Education and Experience:

  • Proficiency in SQL and Python
  • Experience with modern data testing frameworks (dbt, Great Expectations)
  • Proficiency in writing and maintaining dbt tests for data transformations
  • Experience in CI/CD practices for data pipelines


aPriori Offers

  • Competitive compensation
  • Generous Pension
  • Competitive compensation
  • Private medical, dental and vision
  • Cycle to work scheme
  • Flexible time off
  • Enhanced holidays, plus 4 aPriori days per year when all of our team are given a day off
  • Engagement and social activities
  • Income protection
  • Employee Assistance program


About aPriori:Founded in 2003, aPriori is disrupting the industry’s status quo with groundbreaking work helping manufacturers digitally transform their businesses. Through our unique, patented, intellectual property, we enable manufacturers to accelerate product design, and bring products to markets faster while providing visibility to the sustainability of their design and manufacturing choices. Our impact is profound - our customers save millions of dollars each year, accelerate time to market, all while creating a better world for future generations. Though we are an established software firm, through our continued growth, we have maintained the dynamic, collaborative nature of a start-up.


With a global presence, including North America, Europe, Asia, and India, we encourage an inclusive work environment and support employees’ growth through education, training, wellness, and other programs. As our greatest asset, employees’ contributions are acknowledged through monthly company-wide meetings, often with promotions and awards. We promote a positive work culture, employee-friendly policies, flexible work schedules, and an additional day off each quarter known as “aPriori Day”.


Interested in joining our team?We continue to build an organization highly talented, self-motivated individuals. Our unique environment empowers employees to bring their best selves each day, asking, “How can I do better?” and then exceeding expectations. We work together towards a common goal. We nurture and celebrate each other’s successes. Employees embrace opportunities to build new skills as well as step into leadership positions where they are supported and mentored by the Senior Leadership team to grow into impactful individual contributor roles or to effectively manage teams. Innovation, adaptability, and a desire to increase your value are essential. If you possess these qualities, we want to hear from you!


aPriori is an equal opportunities employer.We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone. All candidates will be required to demonstrate right to work in UK ”

GDPR Notice:https://www.apriori.com/privacy-policy/

Related Jobs

View all jobs

Data Quality Engineer

Senior Data Engineer

Quality Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data 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.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

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

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.