Senior Data Engineer

Senior Data Engineer

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build scalable data solutions using cutting-edge technologies.
  • Company: Join Firstup, a leader in improving employee experiences for top companies.
  • Benefits: Enjoy excellent PTO, health benefits, remote work, and a supportive environment.
  • Other info: Thriving, inclusive culture that values your ideas and personal growth.
  • Why this job: Make a real impact on how millions of employees connect and engage at work.
  • Qualifications: 8+ years in data engineering with expertise in SQL and GenAI applications.

The predicted salary is between 63000 - 77000 £ per year.

Who We Are

At Firstup, our mission is to improve the employee experience at every moment that matters, large and small.

As the communication pipeline for the world's workforce, we now serve 40 of the Fortune 100 companies, reaching and connecting more than 17 million employees daily.

Our employees are experts in the employee experience, workforce communications and technology.

Joining Firstup means joining a movement to make work better for every worker.

As the world's first intelligent communication platform, Firstup meaningfully engages employees at every moment from hire to retire, and delivers engagement insights to help companies support, promote and retain their talent.

Our movement has taken root and is evident in our world-class customer base.

Now we need your help.

Ready to make a difference in the world?

The

Senior Data Engineer will design and build reliable data solutions that translate complex product and business logic into scalable, well-tested data models and pipelines.

This role requires deep expertise in SQL, query acceleration, and applying Gen AI to both engineering workflows and data/analytics interfaces.

They will partner across engineering, analytics, and business teams, contribute to shared codebases, improve data quality and observability, and help evolve the data architecture.

  • Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions, balancing data quality, business value, and speed.
  • Build and maintain natural language interfaces to data and analytics, applying Gen AI/LLM techniques to make data more accessible across the business.
  • Use Gen AI coding tools and practices in daily development to improve code quality, testing, and delivery speed.
  • Continuously evaluate new technologies that could improve and scale the team's data platform and technology stack.
  • Establish and follow standards for SQL development, data modeling, testing, documentation, code reviews, and production support.
  • Support production data pipelines through on-call rotation and incident response, partnering with engineering, analytics, and business teams.
  • Document and maintain expertise in the technology stack and product domain, translating business needs into technical solutions with product management.
  • Bachelor's degree in Computer Science or related field, or equivalent professional experience.
  • 8+ years building reliable, high-performance, large-scale distributed systems, with an emphasis on streaming and data pipelines.
  • Experience working with and maintaining multi-tenant Saa S experiences.
  • Experience building natural language interfaces over data warehouses, including applying Gen AI/LLM techniques to data and analytics.
  • Enterprise-level experience with at least one large-scale analytical data warehouse or query engine: Star Rocks, Amazon Redshift, Snowflake, Databricks, or Trino.
  • Expertise writing, optimizing, and analyzing SQL.
  • Hands-on experience building and operating distributed data platforms on AWS or GCP.
  • Hands-on experience with streaming platforms such as Kafka and Spark.
  • Experience scaling data modeling and warehousing.
  • Proficiency in python.
  • Experience with Cube or other semantic layers.
  • Experience with scheduling tools such as Airflow.
  • Familiarity with the BI tool Metabase.
  • Proficiency in Ruby on Rails, React, or other adjacent languages.

Why Firstup?

Because you care - about people, the work you do, and the connections you make. Work is such a large part of life; it only makes sense to make it awesome.

If you want to engage brilliant minds in a high-growth and inclusive environment where ideas are rewarded regardless of who they come from, join us.

This is a rapidly changing space so if you thrive on ambiguity, are hungry for a challenge, and have the guts to speak your mind, you could be a perfect fit.

We offer an excellent PTO program, great health benefits, a casual and friendly environment, remote work, and a leadership team who truly believes in your growth - both personally and professionally.

Firstup is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, protected disability, veteran status or any other protected status in accordance with applicable federal, state or local laws.

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Senior Data Engineer 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.

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Contact Details:

Firstup Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer

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 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 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

SQL
GenAI
Data Modelling
Data Pipelines
Natural Language Interfaces
Distributed Systems
AWS

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.