Data Quality Engineer

Data Quality Engineer

Belfast Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Ensure data integrity and accuracy through analysis, validation, and collaboration.
  • Company: aPriori is revolutionising manufacturing with innovative digital transformation solutions.
  • Benefits: Enjoy competitive pay, flexible time off, private medical care, and a cycle to work scheme.
  • Why this job: Join a dynamic team that values innovation, collaboration, and personal growth in a supportive environment.
  • Qualifications: 3-5 years experience in data quality or analysis, with skills in SQL, Python, and modern testing frameworks.
  • Other info: Hybrid work model with 1-3 days in the office; inclusive culture promoting equality and employee development.

The predicted salary is between 36000 - 60000 £ per year.

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.

Location: Belfast (Hybrid- 1-3 days per week in office)

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:

  • Should have 3-5 years of experience as Data Quality Engineer or Data Analyst.
  • 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.
  • 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 of 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.

Benefits: Medical Aid / Health Care, Pension Fund, Paid Holidays, Dental.

Data Quality Engineer employer: Apriori Technologies Uk, Limited

aPriori is an exceptional employer located in Belfast, offering a hybrid work model that promotes flexibility and work-life balance. With a strong focus on employee growth, we provide numerous opportunities for professional development, competitive compensation, and a supportive work culture that celebrates innovation and collaboration. Our commitment to inclusivity and employee well-being, alongside unique benefits like enhanced holidays and aPriori Days, makes us an attractive choice for those seeking meaningful and rewarding employment.
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Contact Detail:

Apriori Technologies Uk, Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Quality Engineer

✨Tip Number 1

Familiarise yourself with the specific data quality principles and best practices mentioned in the job description. Understanding these concepts will help you articulate your knowledge during interviews and demonstrate your alignment with the role.

✨Tip Number 2

Showcase your experience with SQL and Python by preparing examples of past projects where you've used these skills to solve data quality issues. Being able to discuss real-world applications will make you stand out.

✨Tip Number 3

Highlight your familiarity with modern data testing frameworks like dbt and Great Expectations. If you have any relevant certifications or completed projects, be ready to discuss them in detail to showcase your expertise.

✨Tip Number 4

Prepare to discuss your collaborative experiences with stakeholders, especially in data engineering and analysis contexts. Being able to communicate effectively about how you've resolved data quality issues in a team setting will be crucial.

We think you need these skills to ace Data Quality Engineer

Data Quality Principles
Data Engineering
Data Warehousing
Data Mesh Concepts
SQL Proficiency
Python Proficiency
Data Validation Techniques
Automated Testing Frameworks
CI/CD Practices for Data Pipelines
Analytical Skills
Problem-Solving Skills
Communication Skills
Interpersonal Skills
Collaboration Skills
Attention to Detail

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Quality Engineer. Familiarise yourself with data quality principles, metrics, and the tools mentioned in the job description, such as SQL, Python, and modern data testing frameworks.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your background in data engineering, data analysis, and any specific projects where you've implemented data quality frameworks or automated testing.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data quality and your understanding of the company's mission. Mention specific examples from your past work that demonstrate your analytical skills and ability to collaborate with stakeholders.

Highlight Soft Skills: In addition to technical skills, emphasise your communication and interpersonal skills. The role requires collaboration with various teams, so showcasing your ability to effectively communicate complex data issues will strengthen your application.

How to prepare for a job interview at Apriori Technologies Uk, Limited

✨Understand Data Quality Principles

Make sure you have a solid grasp of data quality principles and best practices. Be prepared to discuss how you've applied these in your previous roles, especially in relation to data validation and monitoring.

✨Showcase Your Technical Skills

Highlight your proficiency in SQL and Python during the interview. Be ready to provide examples of how you've used these skills in data analysis or engineering tasks, particularly with modern data testing frameworks like dbt.

✨Demonstrate Collaboration Skills

Since this role involves working closely with various stakeholders, be prepared to share experiences where you've effectively communicated and collaborated with data engineers, analysts, or business users to resolve data quality issues.

✨Prepare for Problem-Solving Scenarios

Expect to face questions that assess your analytical and problem-solving abilities. Think of specific instances where you've identified and addressed data quality issues, and be ready to explain your thought process and the outcomes.

Data Quality Engineer
Apriori Technologies Uk, Limited
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