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Firstup

Senior Data Engineer

United Kingdom
Posted 1 day ago
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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 Role

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 GenAI 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.

Responsibilities

  • 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 GenAI/LLM techniques to make data more accessible across the business.
  • Use GenAI 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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Minimum Qualifications

  • 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 SaaS experiences
  • Experience building natural language interfaces over data warehouses, including applying GenAI/LLM techniques to data and analytics
  • Enterprise-level experience with at least one large-scale analytical data warehouse or query engine: StarRocks, 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

Preferred Qualifications

  • 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

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Compensation

The starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience.

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.

AI in Hiring

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Location

United Kingdom

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