Data Quality Engineer

Data Quality Engineer

Full-Time 36000 - 60000 ÂŁ / 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 engaging social activities.
  • Why this job: Join a dynamic team that values innovation, collaboration, and personal growth in a supportive environment.
  • Qualifications: Proficiency in SQL, Python, and modern data testing frameworks; strong analytical skills required.
  • Other info: Embrace opportunities for leadership and skill development in a culture that celebrates success.

The predicted salary is between 36000 - 60000 ÂŁ 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.

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.
  • 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.

Data Quality Engineer employer: aPriori Technologies

aPriori is an exceptional employer, offering a dynamic and collaborative work environment that fosters innovation and personal growth. With competitive compensation, generous benefits including private medical care and flexible time off, employees are empowered to thrive both professionally and personally. Located in a vibrant area, our inclusive culture encourages teamwork and celebrates individual contributions, making it an ideal place for Data Quality Engineers to make a meaningful impact.
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Contact Detail:

aPriori Technologies Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Quality Engineer

✨Tip Number 1

Familiarise yourself with data quality principles and best practices. Understanding these concepts will not only help you in interviews but also demonstrate your commitment to maintaining high data standards.

✨Tip Number 2

Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your technical abilities.

✨Tip Number 3

Network with professionals in the data engineering field. Attend meetups or webinars related to data quality and cloud platforms like AWS or GCP to connect with potential colleagues and learn about industry trends.

✨Tip Number 4

Prepare to discuss your experience with modern data testing frameworks like dbt and Great Expectations. Be ready to share specific examples of how you've implemented these tools in past projects to ensure data accuracy.

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
Modern Data Testing Frameworks (dbt, Great Expectations)
CI/CD Practices for Data Pipelines
Analytical Skills
Problem-Solving Skills
Attention to Detail
Communication Skills
Interpersonal Skills
Collaboration Skills
Data Validation Techniques
Cloud Platform Expertise (AWS/GCP)
Automated Testing
Monitoring and Alerting Systems

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 proficiency in SQL and Python, as well as any experience with data engineering and data warehousing concepts.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data quality and your ability to collaborate effectively with stakeholders. Mention specific examples of how you've implemented data quality standards or resolved data issues in previous roles.

Showcase Your Analytical Skills: In your application, provide examples of your analytical and problem-solving skills. Discuss any projects where you conducted data analysis or developed validation rules, demonstrating your capability to ensure data accuracy and integrity.

How to prepare for a job interview at aPriori Technologies

✨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 previous roles, as this will show your technical expertise and understanding of the importance of data integrity.

✨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 validation or analysis, especially in relation to modern data testing frameworks like dbt or Great Expectations.

✨Demonstrate Collaboration Skills

Since the role requires effective communication with various stakeholders, prepare to share experiences where you've successfully collaborated with data engineers, analysts, or business users. This will illustrate your ability to work as part of a team and resolve data quality issues.

✨Prepare for Problem-Solving Scenarios

Expect to be asked about specific data quality issues you've encountered and how you resolved them. Think of examples that showcase your analytical and problem-solving skills, as well as your ability to implement data quality checks and monitoring systems.

Data Quality Engineer
aPriori Technologies
A
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