At a Glance
- Tasks: Design and maintain scalable data pipelines and analytics solutions using GenAI.
- Company: Join Firstup, a fast-growing tech company with an inclusive culture.
- Benefits: Enjoy excellent PTO, health benefits, remote work, and growth opportunities.
- Other info: Collaborate with cross-functional teams and enhance your skills in a friendly atmosphere.
- Why this job: Make a real impact on data architecture in a dynamic environment.
- Qualifications: 8+ years of experience in building high-performance data systems and proficiency in Python.
The predicted salary is between 63000 - 77000 £ per year.
Overview
As a Senior Data Engineer at Firstup, you will design and maintain scalable data pipelines and analytics solutions that translate product and business logic into reliable data models.
You’ll apply Gen AI to engineering workflows and data interfaces, collaborating with cross-functional teams to improve data quality and observability.
You will help evolve the data architecture and support production pipelines with on-call readiness.
This role combines hands-on engineering with strategic data platform growth in a fast-growing, inclusive environment.
- Pay / Benefits
- excellent PTO program
- great health benefits
- remote work
- casual and friendly environment
- growth opportunities
- leadership committed to employee development
Responsibilities
- Design, build, and maintain scalable data pipelines, data warehouses, and analytics solutions
- Develop natural language interfaces to data and analytics using Gen AI/LLM techniques
- Utilize Gen AI coding tools to enhance code quality, testing, and delivery speed
- Evaluate new technologies to scale the data platform and stack
- Establish SQL development, data modeling, testing, documentation, and code review standards
- Provide on-call production support and incident response in collaboration with engineering, analytics, and business teams
- Document domain expertise and translate business needs into technical solutions with product management
- Key requirements
- Bachelor's degree in Computer Science or related field, or equivalent professional experience
- 8+ years building reliable, high-performance, large-scale distributed systems with emphasis on streaming and data pipelines
- Experience with multi-tenant Saa S environments
- Experience building natural language interfaces over data warehouses and applying Gen AI/LLM techniques
- Expertise with at least one large-scale analytical data warehouse or query engine (Star Rocks, Redshift, Snowflake, Databricks, or Trino)
- SQL development, optimization, and analysis
- Hands-on experience with distributed data platforms on AWS or GCP
- Hands-on experience with streaming platforms like Kafka and Spark
- Experience scaling data modeling and warehousing
- Proficiency in Python
- Cross-functional collaboration
- Strong problem-solving and analytical thinking
- Effective communication and documentation
- SQL optimization and data modeling
- Gen AI/LLM techniques for data and analytics
- Data pipelines and warehouse architectures
Senior Data Engineer (UK) in London employer: Firstup
Firstup is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those looking to make a significant impact in the SaaS industry. With a strong emphasis on employee growth, you will have access to ongoing training and development opportunities, ensuring you stay at the forefront of technology while working in a dynamic environment that values your contributions. Located in a vibrant area, Firstup offers unique advantages such as flexible working arrangements and a supportive team atmosphere, making it an ideal place for professionals seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (UK) in London
✨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 Firstup!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer (UK) at Firstup.
✨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 Firstup.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer (UK) at Firstup, 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 (UK) in London
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 Firstup, 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 Firstup. 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 Firstup
✨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 Firstup!
✨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.
