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
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Senior Data Engineer in Leicester
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Senior Data Engineer at Nicoll Curtin, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Nicoll Curtin.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Nicoll Curtin
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
