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- Tasks: Join us as a Data Quality Engineer, ensuring accurate data for analysis and resolving quality issues.
- Company: Gambling.com Group is a leading performance marketing company in the online gambling industry.
- Benefits: Enjoy flexible work options, comprehensive health insurance, and a lifestyle spending allowance.
- Why this job: Be part of an award-winning team that values innovation and responsible player acquisition.
- Qualifications: Bachelor's degree or relevant experience, 3+ years in data quality, and strong SQL skills required.
- Other info: Opportunity to work in a dynamic environment with access to personal and career development courses.
The predicted salary is between 36000 - 60000 £ per year.
Gambling.com Group (Nasdaq: GAMB) is looking for talented individuals to join its diverse and growing team in Europe. Through a portfolio of brands -- including flagship website Gambling.com, as well as Bookies.com and the new Casinos.com -- Gambling.com Group helps online gamblers start their consumer journey with confidence by delivering best-in-class content featuring expert analysis, independent reviews, news, tips, odds comparisons and more. The Group has positioned itself as one of Europe's premier performance marketing companies and is one of the leaders in responsible player acquisition across the regulated, global online gambling industry. The Group has won nearly every award in the gambling affiliate industry for sports and casino, and is a two-time winner of the prestigious EGR Affiliate of the Year award.
We have an opening for a Data Quality Engineer with a focus on providing accurate and consistent data for analysis.
Responsibilities:- Develop and maintain data quality metrics and KPIs.
- Collaborate with cross-functional teams to identify and resolve data quality issues.
- Design and implement data quality controls and quality audit processes.
- Validate data accuracy and completeness across core business systems.
- Establish business rules and standards to ensure data consistency.
- Investigate and respond to data inquiries and requests.
- Continuously identify opportunities to enhance data accuracy and integrity.
- Bachelor's degree in computer science, Information Systems, related field, or relevant professional experience.
- 3+ years of professional experience in data quality, data engineering or data analysis.
- Strong analytical and problem-solving skills.
- Proficiency in SQL and experience working with large datasets.
- Experience with ETL (Extract, Transform and Load), ELT (Extract, Load, and Transform) tools and processes is preferred.
- Knowledge of data warehousing concepts and technologies.
- Knowledge of and direct experience with using Python.
- Excellent organization and communication skills in English.
- Ability to work in a fast-paced, dynamic environment.
- Comprehensive Health Insurance
- 401k match
- Employee Stock Purchase Program
- Flexible work environment and home office available
- Lifestyle Spending Allowance
- Access to courses for Personal and Career Development
- All the hardware and software you need to be successful
- Regular company events, activities, Spot Awards
- Company Paid Volunteer Day
Data Quality Engineer employer: Gambling.com Group
Contact Detail:
Gambling.com Group 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 metrics and KPIs that are relevant to the online gambling industry. Understanding these will help you demonstrate your knowledge during interviews and show how you can contribute to maintaining high data standards.
✨Tip Number 2
Brush up on your SQL skills, as proficiency in SQL is crucial for this role. Consider working on sample projects or datasets to showcase your ability to manipulate and analyse large datasets effectively.
✨Tip Number 3
Network with professionals in the data quality and engineering fields, especially those who work in the gambling or performance marketing sectors. Engaging with industry experts can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with ETL and ELT processes in detail. Be ready to share examples of how you've implemented data quality controls in previous roles, as this will highlight your practical experience and problem-solving skills.
We think you need these skills to ace Data Quality Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Data Quality Engineer position. Tailor your application to highlight relevant experience in data quality, engineering, or analysis.
Highlight Relevant Skills: Emphasise your proficiency in SQL, experience with large datasets, and familiarity with ETL/ELT processes. Mention any knowledge of Python and data warehousing concepts, as these are crucial for the role.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your analytical and problem-solving skills. Use specific examples from your past work to demonstrate how you have successfully managed data quality issues.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. Ensure that your documents are well-organised and clearly communicate your qualifications for the Data Quality Engineer position.
How to prepare for a job interview at Gambling.com Group
✨Showcase Your Technical Skills
As a Data Quality Engineer, you'll need to demonstrate your proficiency in SQL and Python. Be prepared to discuss specific projects where you've used these skills, and consider bringing examples of your work or code snippets to showcase your expertise.
✨Understand Data Quality Metrics
Familiarise yourself with common data quality metrics and KPIs. During the interview, be ready to explain how you would develop and maintain these metrics, and provide examples of how you've previously identified and resolved data quality issues.
✨Collaborate Effectively
Collaboration is key in this role. Prepare to discuss your experience working with cross-functional teams. Highlight any specific instances where your collaboration led to successful outcomes in resolving data quality issues.
✨Ask Insightful Questions
At the end of the interview, don't forget to ask questions that show your interest in the company and the role. Inquire about their current data quality challenges or the tools they use for ETL processes. This demonstrates your enthusiasm and helps you gauge if the company is the right fit for you.
