At a Glance
- Tasks: Lead the delivery of data management solutions and drive data governance initiatives.
- Company: Dynamic tech company in London focused on innovative data solutions.
- Benefits: Competitive salary, training opportunities, and a collaborative work environment.
- Other info: Opportunity for career growth and professional development in data management.
- Why this job: Make an impact by managing enterprise data solutions in a complex environment.
- Qualifications: Expertise in Snowflake, GitHub, and Octopus Deploy required.
The predicted salary is between 59400 - 72600 £ per year.
- Required skill – Snowflake, Git Hub, and Octopus Deploy
- Location – London, UK
Role summary
- We are seeking an experienced Data Management Lead to drive the delivery and management of enterprise data solutions within a complex, cross-functional environment.
The ideal candidate will possess strong expertise in Snowflake, Git Hub, and Octopus Deploy, with the ability to manage data platforms, and support data-driven business initiatives.
- Experience with Guidewire is desirable, and successful candidates will receive training on the Guidewire Data Model from the Infosys Guidewire team.
Key Responsibilities
- Responsible for the delivery of data management and integration solutions.
- Design, develop, and maintain scalable data platforms and pipelines.
- Drive data governance, data quality, and operational excellence initiatives.
- Collaborate with business and technical stakeholders to understand data requirements and translate them into effective solutions.
- Support deployment, maintenance, and continuous improvement of data platforms and environments.
- Ensure adherence to development standards, best practices, and release management processes.
- Technical Skills & Capabilities
- Must have: Advanced Snowflake + Confluent Cloud skills (building tables, ELT processing, queries, database maintenance, event streaming)
- Experience Github & Octopus deploy
- Resource with Lead capability to drive the team on delivery
- SQL
- Basic knowledge of Kafka (can maintain Kafka topics)
- Business analysis skills
- Understand the flow of data from CDA
- Five Tran
- Intermediate Excel Skills (Formulas and visualisation, data organisation)
- Have worked in complex cross functional development environments
- On-prem Apache Kafka
- Understanding of Dimensional database architecture concepts
- GW certification (must understand the data)
Data Management Lead in London employer: Avance Consulting
Avance Consulting is an exceptional employer that fosters a dynamic work culture in the heart of Edinburgh, offering employees the chance to lead innovative technological changes in customer communications. With a strong emphasis on professional development and cross-functional collaboration, team members are encouraged to grow their skills while working with cutting-edge tools in a supportive environment. The company values diversity and inclusion, making it a rewarding place for those looking to make a meaningful impact in sectors like Banking and Insurance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Management Lead in London
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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 Avance Consulting.
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We think you need these skills to ace Data Management Lead 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 Avance Consulting, 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 Avance Consulting. 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 Avance Consulting
✨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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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 Avance Consulting!
✨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.
