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Deel

Analytics Engineer

United Kingdom
Posted 2 days ago
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Analytics Engineer

Data Analyst/Engineer (dBT)

Who We Are

Is What We Do. Deel is the all-in-one payroll and HR platform for global teams—empowering businesses to scale globally while ensuring compliance, benefits, and equitable opportunities for every worker.

Built on a vision to unlock global opportunity for every person, team, and business, Deel integrates HRIS, payroll, compliance, benefits, performance, and equipment management into a scalable, seamless platform. With AI-driven tools and a global payroll infrastructure spanning 150+ countries, Deel supports freelancers, contractors, employees, and founders—creating a fairer, future-ready work ecosystem.

Our team of 7,000+ professionals across 100+ countries, speaking 74 languages, embodies a dynamic, inclusive culture that drives innovation for 44,000+ customers. Recognised as a CNBC Disruptor 50 company (2023), Forbes Cloud 100 leader (2024), Deloitte Fastest-Growing Company (2024), and $17.3 billion valuation provider ($2024), we’re transforming global work—enabling $11.2B in worker payments in 41 currencies (2024) and healthcare access in 109 countries.

Why Join Deel?

  • Mission Impact: Shape the future of work with a role that directly benefits millions of workers and businesses globally.
  • One-of-a-Kind Culture: Flexible policies (remote work + optional WeWork access), stock grants dependent on role/jurisdiction, and language enablement in a community of 74 voices.
  • Growth as a Leader: As we scale from $1B ARR in 5 years, this role is an accelerator for career development in data infrastructure across borders.

Role: Data Engineer (dBT) - Global Product Analytics

Responsibilities

  • Design & Maintain Data Models: Build and optimize dBT models aligned with global data architecture and business needs.
  • End-to-End Pipeline Ownership: Oversee extraction, transformation, and loading of data (ETL) to ensure accuracy and timeliness for analytics.
  • Optimize Query Performance: Write complex SQL and macros, improving efficiency and scalability for global dashboards (e.g., Looker, Tableau).
  • Data Quality & Governance: Implement checks, cleanses, and metadata tagging to maintain reliability.
  • Collaboration: Work with data analysts to align metrics definitions and resolutions, fostering consistency across global teams.
  • Team Process Improvement: Share workflow best practices or lead portions of meetings (collaboration driver).

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.


Requirements

Qualifications

✔ Education

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or related quantitative discipline.

✔ Experience

  • 3+ years in data engineering, BI development, or analytics positions.
  • Proven ability to handle multi-project workflows, troubleshoot issues, and deliver results under tight timelines.

✔ Technical Skills

  • Strong SQL proficiency.
  • Hands-on experience with data warehousing concepts (e.g., Snowflake, BigQuery) and dBT for modeling (schema, testing, macros).
  • Experience building dashboards with Looker/Tableau or similar BI platforms.
  • Basic Python/R scripting (automation, data cleaning, integration).

✔ Soft Skills

  • Strategic communicator, able to translate technical details for both non-technical stakeholders and colleagues.
  • Curious collaborator with ownership mindset.

Total Rewards & Benefits

Your compensation reflects equitable Fair Pay for talent, globally scaled and localized by regional market. No salary history inquiries; offers are roles and skills-based.

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BenefitFeatures
StandardsMarket-competitive gross base (USD range for commercial roles with OTE, inclusive of base and target commission). Offers localised per country.
Stock GrantsRole/location-dependent stock access to align with Deel’s equity culture.
Remote WorkFlexible work model + optional WeWork access for in-person collaboration when preferred.
PersonalisationPerks tailored to tenure, role, national origin, and scope of duties (e.g., healthcare coverage in 100+ countries).

Fairness & Inclusion Commitment

Deel proudly supports diversity in recruitment efforts, as noted in the EEO statement:

  • No discrimination based on race, religion, gender identity, veteran status, disability, or other protected characteristics.
  • Disability Access: Request accommodations (e.g., interview adjustments) aka recruiting@deel.com.
  • Recruitment Privacy Policy: Deel uses automated tools (AEDT) for fairness audits, ensuring adherence to laws. AI models exclude personal data from final hiring oversight.

Apply now: Deel Careers (NYC Residents: Visit the careers page for Disability Law 144 data privacy clearances.)

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“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

SQL
Data Modeling
Data Warehousing
Business Intelligence
Python
Data Processing
Data Analysis
Data Quality
Data Pipelines
Analytics Workflows
Communication
Collaboration

Location

United Kingdom

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