At a Glance
- Tasks: Build and optimise data pipelines using cutting-edge tech like Databricks and Azure.
- Company: Join a dynamic team in the exciting fields of Web3, AI, and crypto.
- Benefits: Competitive pay, hybrid work, and a friendly, collaborative environment.
- Other info: Opportunity for career growth in a modern tech stack.
- Why this job: Be part of a growing team and shape the future of data engineering.
- Qualifications: Experience with Azure, Databricks, Python, and a passion for data governance.
We’re looking for a Senior Data Engineer to join a growing data team (currently three members plus a lead) and play a key role in strengthening the group’s engineering capability. The focus will be on migrating and integrating data platforms, cleaning and documenting legacy data, and contributing to the design and build of the new data architecture. This is an opportunity to get involved early in the platform’s development, close to Greenfield, and help establish engineering standards and best practices that will support long-term scalability. The environment is primarily Databricks‑based, with legacy data quality posing some interesting challenges that the team is keen to resolve properly this time around.
What you’ll be doing:
- Building and optimising ETL/ELT pipelines with Databricks & Apache Spark
- Designing scalable solutions using Azure Data Factory, Synapse & Data Lake
- Implementing Delta Lake with ACID transactions and schema enforcement
- Automating testing and CI/CD with Azure DevOps & Terraform
- Driving data governance with Azure Purview & Unity Catalog
- Developing real‑time data solutions with Event Hubs & Structured Streaming
- Managing infrastructure as code and optimising cloud costs
- Working closely with engineers, QA, Product Owner, and stakeholders
What we’re looking for:
- Strong hands‑on experience with Azure & Databricks
- Proficiency in Python, Spark SQL, and Terraform
- Solid understanding of data governance and real‑time processing
- Great communication skills and a collaborative mindset
£600/day - outside IR35 | Hybrid | Contract | Modern tech stack | Friendly team
If this sounds like something you’d be interested in, feel free to reach out or share with someone who might be.
Senior Data Engineer in Leicester employer: Nicoll Curtin
At Nicoll Curtin, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our remote work options provide flexibility, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills in the rapidly evolving field of AI Workflow Automation. Join us to be part of a dynamic team dedicated to transforming insurance operations through cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Leicester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Nicoll Curtin!
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✨Leverage Professional Networks
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 Nicoll Curtin.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Nicoll Curtin, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer in Leicester
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 Nicoll Curtin, 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 Nicoll Curtin. 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 Nicoll Curtin
✨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 Nicoll Curtin!
✨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.
