At a Glance
- Tasks: Lead impactful data projects and mentor junior engineers in a collaborative environment.
- Company: Join Howden, a global insurance group with a unique employee-owned culture.
- Benefits: Enjoy work/life balance, career progression, and opportunities for volunteering.
- Other info: Be part of a dynamic team driving change across 56 countries.
- Why this job: Make a real difference in data engineering while working with cutting-edge technologies.
- Qualifications: 4-6 years of data engineering experience, especially with Databricks and Azure services.
The predicted salary is between 63000 - 77000 £ per year.
Who are we?Howden is a global insurance group with employee ownership at its heart.
Together, we have pushed the boundaries of insurance.
We are united by a shared passion and no-limits mindset, and our strength lies in our ability to collaborate as a powerful international team comprised of 24,000 employees spanning over 56 countries.
People join Howden for many different reasons, but they stay for the same one: our culture.
It’s what sets us apart, and the reason our employees have been turning down headhunters for years.
Whatever your priorities – work / life balance, career progression, sustainability, volunteering – you’ll find like-minded people driving change at Howden.
Senior Data Engineer Position Senior Data Engineer to own and drive forward high-impact data initiatives, providing technical depth across the data engineering function while supporting the development of junior team members.
Summary of the Role Howden Group Services is expanding its internal data engineering capability and is looking for an experienced Senior Data Engineer with strong expertise in Databricks and Azure data services.
The ideal candidate will have a proven track record of designing and delivering scalable, metadata-driven data solutions, particularly in metadata ingestion and orchestration processes, and will be capable of working with a high degree of autonomy.
The role requires someone who can take ownership of complex technical problems, contribute to design decisions, and provide informal guidance and support to junior engineers.
The successful candidate will be comfortable working closely with stakeholders, balancing multiple deliverables, and implementing robust data solutions to enable business insights and operational efficiencies.
Responsibilities The successful candidate will: Take ownership of the development of metadata ingestion frameworks and orchestration processes.
Design and implement scalable and reusable metadata-driven services to optimise data pipelines.
Build and maintain robust data solutions using Databricks and Azure services (such as Autoloader, Spark Declarative Pipelines, Azure Data Factory (ADF), Azure Functions, and Azure Data Lake Storage (ADLS)).
Apply and help embed best practices for data engineering, CI/CD pipelines, and Dev Ops for data.
Collaborate with business stakeholders, data scientists, and analysts to understand data needs and translate them into efficient engineering solutions.
Optimise and enhance existing data pipelines for performance, reliability, and scalability.
Support the adoption of data governance and security best practices across the team.
Design, build and maintain ETL processes and analytical data products with minimal oversight.
Provide technical guidance and informal mentoring to junior engineers, reviewing code and sharing best practices.
Act as a point of escalation for complex, business-critical data issues, demonstrating strong problem solving, communication, and stakeholder management skills.
Requirements Candidates should have:4-6 years of experience in data engineering with a strong focus on Databricks (SQL
Senior Data Engineer employer: TigerRisk Partners, LLC.
Howden is an excellent employer that fosters a collaborative and innovative work culture, perfect for junior to mid-level C#/.NET Developers looking to grow their skills in a supportive environment. With a focus on employee development and a hybrid working setup, you will have the opportunity to engage in meaningful projects while enjoying a healthy work-life balance. Join us to be part of a team that values quality, creativity, and continuous improvement in the heart of a dynamic industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Get Involved in Data Science Meetups
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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 TigerRisk Partners, LLC..
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We think you need these skills to ace Senior Data Engineer
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 TigerRisk Partners, LLC., 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 TigerRisk Partners, LLC.. 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 TigerRisk Partners, LLC.
✨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 TigerRisk Partners, LLC.!
✨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.
