At a Glance
- Tasks: Design and optimise scalable data solutions using Databricks and Python.
- Company: Join Allianz Commercial, a leader in inclusivity and innovation.
- Benefits: Enjoy flexible working, competitive salary, and extensive career development opportunities.
- Other info: Flexible hours and hybrid working options to support your work-life balance.
- Why this job: Make an impact in data engineering while collaborating with a diverse team.
- Qualifications: Expertise in Databricks, Python, and CI/CD pipelines required.
We are seeking a skilled and experienced Senior Data Engineer with a strong focus on Databricks to join our team. The ideal candidate will have expertise in Python/Pyspark, CI/CD pipelines, and hands-on experience with Databricks to design, implement, and optimize scalable data solutions. This role will be based in our Guildford office with office attendance expected fortnightly on a Wednesday.
Salary Information
Pay: Circa £74,000 per year. Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package.
About You
- You will be leading solution design activities, collaborating with peers and mentoring junior colleagues to define and execute the team backlog.
- Develop, implement, test, and document scalable ETL (Extract, Transform, Load) data pipelines and workflows using Databricks / Synapse to efficiently ingest and transform data from various sources.
- Work collaboratively with testers to ensure automated test plans are in place and agree on test packs for UAT.
- Ensure solution designs align with the Allianz Data Technology Strategy, maintaining and enhancing Allianz standards and Service Excellence.
- Implement robust data security measures and ensure compliance with data privacy regulations.
- Peer reviews the work of colleagues and take accountability for the quality of deliverables within the squad.
- Identify and address performance bottlenecks and data quality issues to ensure data accuracy and reliability.
- Collaborate with stakeholders and analysts to understand data requirements and deliver clean, reliable, and accessible data.
- Stay up to date with industry trends and best practices in data engineering, driving continuous improvement and innovation.
Essential Skills
- Databricks Expertise: Proven hands-on experience with Databricks, including building and optimizing data pipelines, managing Delta Lake, and leveraging Databricks features for scalable data solutions.
- Python Proficiency: Strong programming skills in Python / Pyspark for data engineering tasks, including data processing, automation, and scripting.
- CI/CD Knowledge: Experience designing and implementing CI/CD pipelines for data engineering using tools like Azure DevOps, GitHub Actions, or similar platforms.
- Cloud-Native Data Engineering: Experience with data modelling and ETL/ELT frameworks in a cloud-native environment, particularly on Azure.
- Big Data File Formats: Hands-on experience with big data file formats like Parquet and Delta Lake.
We support the government scheme "Access to Work" please feel free to ask us about the access to work scheme.
Desirable Skills
- Responsible Artificial Intelligence usage.
- Familiarity with event-driven architectures (e.g., Kafka).
- Knowledge of AI tools and their application in data engineering.
- Knowledge of the UK Insurance Market.
- Strong analytical and data interpretation skills, with the ability to communicate findings effectively to both technical and non-technical audiences.
- Excellent problem-solving skills and attention to detail, with a focus on delivering high-quality solutions.
What We Will Offer You
Recognised and rewarded for a job well done, we have a range of flexible benefits for you to choose from- so you can pick a package that's perfect for you. We also offer flexible working options, global career opportunities across the wider Allianz Group, and fantastic career development and training. That's on top of enjoying all the benefits you'd expect from the world's number one insurance brand, including:
- Flexible buy/sell holiday options
- Hybrid working
- Annual performance related bonus
- Contributory pension scheme
- Development days
- A discount up to 50% on a range of insurance products including car, home and pet
- Retail discounts
- Volunteering days
Our Ways of Working
Do you need flexibility with the hours you work? Let us know as part of your application and if it's right for our customers, our business and for you, then we'll do everything we can to make it happen. Here at Allianz, we are signatories of the ABIs flexible working charter. We believe in supporting hybrid work patterns, which balance the needs of our customers, with your personal circumstances and our business requirements. Our aim with this is to help innovation, creativity, and you to thrive - Your work life balance is important to us. Integrity, Fairness, Inclusion.
Senior Data Engineer in Surrey employer: Allianz Commercial
Allianz Commercial is an exceptional employer that champions inclusivity and diversity, making it a welcoming environment for all employees. With a strong focus on employee growth, the company offers flexible working options, comprehensive benefits, and opportunities for career development within the global Allianz Group. Located in Guildford, the office fosters a collaborative culture where innovation thrives, ensuring that every team member can contribute meaningfully while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Surrey
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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 Allianz Commercial.
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We think you need these skills to ace Senior Data Engineer in Surrey
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 Allianz Commercial, 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 Allianz Commercial. 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 Allianz Commercial
✨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 Allianz Commercial!
✨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.
