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- Tasks: Lead the design and development of innovative data systems for impactful decision-making.
- Company: Dynamic insurance firm focused on scalable data solutions.
- Benefits: Company bonus, enhanced pension, and a comprehensive benefits package.
- Other info: Work in a vibrant London office with opportunities for professional growth.
- Why this job: Shape the future of data technology while enhancing customer experiences.
- Qualifications: Extensive experience in data architecture, SQL, Python, and cloud platforms.
The predicted salary is between 70000 - 90000 £ per year.
Our client specialises in a specific insurance sector. Their mission is to create scalable and insightful data systems that empower better decision making, enhance customer experiences and support growth. This role is critical for them to achieve this.
Responsibilities
- Ownership of the company’s overall solution architecture
- Ownership of the data infrastructure and data pipelines required to ingest structured and unstructured data for multiple sources to support and drive analytics and reporting
- Deliver the company’s data & technology strategy, ensuring close alignment with business objectives and the data and technology roadmap
- Collaborate closely with stakeholders to gather data requirements and translate them into scalable data models
- Design, develop and deliver data capture and reporting systems and technologies from scratch.
- Develop and own a market-leading and cost-efficient cloud-based data warehouse that aligns with business needs and future scalability.
Experience/Skills
- Extensive hands-on experience in data gathering and the building of data warehouses and data products end-to-end
- Strong technical project management skills with a focus on timely delivery and execution from start to finish
- Strong proficiency in SQL, Python, Spark, Java, Scala with the ability to write complex queries, optimise performance and data transformations with preference for experience in AI, machine learning, data-intensive platforms
- Proficiency with cloud data platforms e.g. AWS, GCP, Azure and related data services
- Hands-on experience with multiple data warehouse platforms (e.g. Snowflake, BigQuery, AWS Glue, Azure Data Factory, Databricks, DataOps)
- Proficiency in using CI/CD tools and data orchestration tools (e.g. Airflow/ Luigi)
- Proven track record of independently designing, developing and delivering cost effective data & technology infrastructure solutions
Benefits
- Company bonus
- Enhanced Pension
- Wider benefits package TBC
This role will be based in London (City) four days per week.
Advertised by: in London employer: SIMPLY COMMERCE LTD
Contact Detail:
SIMPLY COMMERCE LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Advertised by: in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data architecture and analytics. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Advertised by: in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your experience with data architecture and cloud platforms like AWS or GCP. We want to see how your skills align with our mission of creating scalable data systems!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our goals. We love seeing enthusiasm and a clear understanding of our business objectives.
Showcase Your Technical Skills: Don’t hold back on your technical prowess! Mention your experience with SQL, Python, and any data warehouse platforms you've worked with. We’re looking for someone who can hit the ground running, so let us know what you bring to the table.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at SIMPLY COMMERCE LTD
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data gathering and building data warehouses. Brush up on your SQL, Python, and any other relevant technologies mentioned in the job description. Being able to discuss your hands-on experience with these tools will show that you’re not just familiar with them, but that you can actually deliver results.
✨Understand the Company’s Mission
Take some time to research the company’s mission and how they aim to enhance customer experiences through data. This will help you align your answers with their goals during the interview. Showing that you understand their vision will demonstrate your genuine interest in the role and the company.
✨Prepare for Technical Questions
Expect to face technical questions related to data architecture and cloud platforms. Prepare by reviewing common scenarios or problems you might encounter in the role. Practising how you would approach these challenges can give you the confidence to tackle any technical queries thrown your way.
✨Showcase Your Project Management Skills
Since strong project management skills are crucial for this role, be ready to discuss your past experiences managing projects from start to finish. Highlight specific examples where you ensured timely delivery and execution, and how you collaborated with stakeholders to meet their data requirements.