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Infinite Lambda

UK I Analytics Engineer

London
Posted about 24 hours ago
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About Us

Infinite Lambda is Europe’s fastest growing data and cloud engineering consultancy. We empower leading companies to scale and become data-first through agile, cloud-native solutions and bleeding-edge practices.

Our mission is to bring top professionals together to make an impact at the intersection of tech and sustainable growth. With distributed teams based in the UK, France, Hungary, Slovakia, Bulgaria, Vietnam, Italy and Romania, we embrace diversity and make sure everyone is happy to be their true self at work.

About The Role

At Infinite Lambda, analytics engineers turn vast amounts of data into insightful, easy-to-use, automated business intelligence reports. They work closely with both the internal team of engineers and our partners’ projects teams to deliver reports that empower business owners to make better and more informed decisions.

Key Responsibilities

  • Design and implement data models, transformations, and ELT/ETL processes using tools like dbt, Snowflake, and Fivetran.
  • Develop insightful BI reports and dashboards in tools such as Omni, Looker, Tableau, Qlik, or Power BI.
  • Collaborate with cross-functional teams to understand business needs and deliver data solutions that enhance decision-making.
  • Maintain version control with Git and ensure data pipelines are efficient, scalable, and reliable.
  • Troubleshoot data issues, optimize queries, and automate reporting workflows.
  • Contribute to knowledge-sharing and best practices within the team.

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.

P

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.

▶ ▶ Anticipated start date: Q1.2026

Requirements

This role involves serious responsibilities to both our clients and our teams. This is why the suitable applicant needs to have a specific skill set as well as considerable experience.

▶ ▶ Working Arrangement: Hybrid, with on-site presence required at the client's office.

▶ ▶ Level: Middle

Must-Have Skills and Experience:

  • Proficiency in SQL for querying and data manipulation.
  • Hands-on experience with data modeling and transformation (e.g. dbt, dimensional modeling, Data Vault).
  • Strong understanding of ELT/ETL processes.
  • Proficiency with version control systems like Git.
  • Experience building BI reports in tools such as Omni, Looker, Tableau, Qlik, or Power BI.
  • Practical experience with dbt, Snowflake, and Fivetran.
  • Fluency in English (written and spoken).

Preferred Soft Skills:

  • Comfortable thriving in a distributed, agile team environment.
  • Excellent communication skills for collaborating across time zones.
  • Self-motivated with a proactive approach, no micromanagement needed.
  • Passion for high-quality work and continuous learning.

Interview process:

  • Intro call with TABP: 45 minutes
  • TPF (Technical Progression Framework) Interview with Engineering Team: 90 minutes
  • Cultural Chat: 45 minutes

Why join Infinite Lambda

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We support your growth with dedicated learning time, access to top-notch resources and a knowledge-sharing culture;

  • You work autonomously here in a wholesome environment and get as much paid holiday as you need;
  • The projects are diverse and give you plenty of opportunity to experiment with new tech;
  • The benefits are plenty with work-from-home budget, a company MacBook and more on the list.

▶ ▶ Submit your CV in English in PDF.

▶ ▶ Mind that as we are an international team, internal communication is in English.

▶ ▶ To ensure legislative compliance, applicants may be asked to provide up-to-date proof of a clean criminal record. Examples of said proof include extract n°3 of the Criminal Record (France), Büntetlen előélet (Hungary), Disclosure and Barring Service (DBS) check (UK), an extract from the Criminal Register (Slovakia), or a country-specific equivalent. Providing proof of a clean criminal record is the final step in the hiring process and will only be requested should the applicant accept an offer from Infinite Lambda.

Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other.

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Skills

SQL
Data Modeling
dbt
Snowflake
Fivetran
ELT/ETL
Git
Omni
Looker
Tableau
Qlik
Power BI
Dimensional Modeling
Data Vault
English Fluency

Location

London, England, United Kingdom

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