At a Glance
- Tasks: Build scalable data pipelines and transform raw data into high-quality datasets.
- Company: Dynamic tech firm in London, focused on innovative data solutions.
- Benefits: Competitive pay, flexible working hours, and opportunities for skill development.
- Other info: Exciting projects with great potential for career advancement.
- Why this job: Join a hands-on role and make a real impact in data engineering.
- Qualifications: 2+ years of Azure Databricks experience and strong PySpark skills.
The predicted salary is between 50000 - 70000 £ per year.
An experienced data engineer with strong Azure Databricks expertise is required for a 6 month contract to develop and deliver a scalable data pipeline that ingests files and transforms them into standardised, high-quality datasets for reporting. This is a hands-on delivery role focused on building a production-grade pipeline, suited to someone comfortable working independently, defining technical solutions, and rapidly delivering high-quality data engineering components.
Location: London - UK - Fenchurch
What will your job entail?
- Implement a scalable ETL pipeline in Azure Databricks, that transforms raw data into standardised schemas to support reporting and analytics, following a medallion architecture in line with internal design standards.
- Leverage an existing email ingestion tool to extract multiple format source files from a shared mailbox.
- Develop notebooks, jobs and pipelines in Databricks for ETL orchestration.
- Design and implement robust validation rules, monitor pipeline runs and troubleshoot failures, with logging and notifications to support robust data processes.
- Integrate with CI/CD flows across environments using Azure DevOps.
- Produce clear technical documentation of the solution to ensure maintainability post-delivery.
Experience
- 2+ years hands-on experience with Azure Databricks, including data validation, transformation, and optimization.
- Expertise in PySpark/Spark SQL.
- Knowledge of Unity Catalog and modern Azure Databricks features, as well as data best practices and concepts.
- Proficiency building end-to-end data pipelines with Delta Lake/Lakehouse architecture.
- Experience implementing CI/CD pipelines (Azure DevOps preferred).
- Experience supporting BI reporting layers (Power BI or similar) is nice to have.
- Insurance experience is nice to have.
Data Engineer employer: RT Specialty, LLC
Join a dynamic team in the heart of London as a Data Engineer, where innovation meets collaboration. Our company fosters a vibrant work culture that prioritises employee growth through continuous learning opportunities and hands-on projects, ensuring you can thrive in your career. With a focus on cutting-edge technology and a commitment to delivering high-quality data solutions, we offer a unique environment that empowers you to make a meaningful impact while enjoying the benefits of working in one of the world's most exciting cities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like RT Specialty, LLC before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like RT Specialty, LLC.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like RT Specialty, LLC.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at RT Specialty, LLC, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to RT Specialty, LLC, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab RT Specialty, LLC’s attention and show the tangible impact of your work.
How to prepare for a job interview at RT Specialty, LLC
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at RT Specialty, LLC.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at RT Specialty, LLC.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at RT Specialty, LLC.
