At a Glance
- Tasks: Design and implement data quality frameworks to enhance client data reliability.
- Company: Billigence, a global boutique data consultancy transforming data management.
- Benefits: Flexible hybrid work, competitive pay, bonuses, and career growth support.
- Other info: Opportunities for certification and networking events to boost your career.
- Why this job: Join a dynamic team and make a real impact on data quality and governance.
- Qualifications: Experience with Ataccama ONE and strong data quality knowledge required.
The predicted salary is between 50000 - 65000 £ per year.
About Billigence
Billigence is a boutique data consultancy with global outreach & clienteles, transforming the way organisations work with data. We leverage proven, cutting‑edge technologies to design, tailor, and implement advanced Business Intelligence solutions across Cloud Data Warehousing, Visualization, Data Science, Data Engineering, and Data Governance. Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture.
About the Role
We are looking for a Data Governance Consultant with a strong focus on Data Quality frameworks. You will work embedded within client environments to design, implement, and mature data quality programmes, leveraging the Ataccama ONE platform to deliver measurable improvements in data reliability and trust.
What You’ll Do
- Design and implement Data Quality frameworks aligned to client business objectives.
- Configure and develop solutions using Ataccama ONE, including rules, profiles, and remediation workflows.
- Collaborate with data owners and stewards to define DQ metrics, thresholds, and remediation processes.
- Conduct data profiling and root‑cause analysis to identify quality issues at source.
- Produce clear documentation including DQ scorecards, runbooks, and governance artefacts.
- Support clients in embedding data quality into broader data governance operating models.
- Present findings and recommendations to senior stakeholders.
What You’ll Need
- Hands‑on experience with Ataccama ONE (rules engine, DQ monitoring, lineage).
- Solid grounding in data quality methodologies, frameworks (e.g. DAMA, DCAM), and best practices.
- Experience designing data quality scorecards and KPIs for enterprise clients.
- Understanding of data governance operating models and how DQ fits within them.
- Strong communication and stakeholder management skills.
- Consultancy or client‑facing delivery experience preferred.
- Familiarity with SQL and data profiling tooling.
Level: Mid to Senior
Benefits
- Hybrid/remote working environment for flexible work-life balance.
- Competitive compensation package + performance bonus.
- Referral bonus scheme.
- Coaching, mentoring, and buddy scheme.
- Certification opportunities throughout your time with us.
- Career growth support, internal moves, and advancement opportunities.
- Team building and networking events.
Got any questions? If you are a talented and experienced Data Expert passionate about cutting‑edge data projects and digital transformation, we’d love to hear from you!
Data Governance Consultant - Data Quality in London employer: Billigence Pty Ltd
Billigence is an exceptional employer that fosters a dynamic and innovative work culture, offering a hybrid/remote working environment that promotes a healthy work-life balance. With a strong emphasis on employee growth, we provide competitive compensation, performance bonuses, and numerous opportunities for professional development, including coaching and certification programmes. Located in Sydney, our boutique consultancy not only transforms how organisations manage data but also cultivates a collaborative atmosphere where every team member can thrive and contribute to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Governance Consultant - Data Quality in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Billigence Pty Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Governance Consultant - Data Quality at Billigence Pty Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Billigence Pty Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Data Governance Consultant - Data Quality at Billigence Pty Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Governance Consultant - Data Quality in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Billigence Pty Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Billigence Pty Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Billigence Pty Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Billigence Pty Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
