At a Glance
- Tasks: Build scalable data pipelines and solve complex data problems with Python, AWS, and Snowflake.
- Company: Join a forward-thinking company focused on data quality and management.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by creating trusted master data and improving data quality.
- Qualifications: Experience in data engineering, strong Python and SQL skills, and knowledge of MDM.
The predicted salary is between 63000 - 77000 £ per year.
We have a contract opportunity for an experienced Data Engineer (AWS, Python, Snowflake) to play a key role in building data matching, cleansing and quality capabilities within a Master Data Management (MDM) environment. This is a hands-on engineering role for someone who enjoys solving complex data problems and working with large, often imperfect datasets. You'll help develop the rules and processes that identify, match, standardise and cleanse records to create trusted, consistent master data. A key focus will be supporting the design and implementation of deterministic and fuzzy matching rules, helping identify when different records represent the same customer, organisation, product or other business entity.
Role
- Build scalable data pipelines and data engineering solutions using Python, AWS and Snowflake.
- Design and implement deterministic and fuzzy matching rules.
- Develop data cleansing, standardisation, validation and enrichment processes.
- Work on entity resolution, record linkage and duplicate detection.
- Analyse matching results and refine rules, thresholds and matching logic.
- Translate business requirements into robust, testable data matching solutions.
- Investigate complex data quality issues and help improve the accuracy and consistency of master data.
- Work closely with data architects, MDM specialists, engineers and business stakeholders.
- Help establish trusted and explainable golden/master records.
Skills & Experience
- Strong commercial experience as a Data Engineer or similar role.
- Excellent Python and SQL skills.
- Strong experience with AWS and Snowflake.
- Experience working with MDM, data quality or data cleansing.
- Understanding of data matching, entity resolution, record linkage or duplicate detection.
- Experience developing rule-based data solutions and working with complex datasets.
- A strong analytical mindset and an ability to turn messy data problems into practical, scalable solutions.
Experience with fuzzy matching, similarity algorithms, probabilistic matching, matching thresholds or golden records would be highly desirable.
Data Engineer - MDM Data Quality in London employer: Broster Buchanan
Join a forward-thinking company that values innovation and collaboration, where as a Data Engineer, you'll have the opportunity to work with cutting-edge technologies like AWS, Python, and Snowflake in a hybrid environment. Our supportive work culture fosters professional growth, offering you the chance to tackle complex data challenges while contributing to the creation of trusted master data. With a focus on employee development and a commitment to excellence, we provide a rewarding workplace for those looking to make a meaningful impact.
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We think this is how you could land Data Engineer - MDM Data Quality in London
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We think you need these skills to ace Data Engineer - MDM 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!
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Craft a Tailored Cover Letter:For a full-time role at Broster Buchanan, 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 Broster Buchanan. 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 Broster Buchanan
✨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!
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✨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 Broster Buchanan!
✨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.
