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Job Position Company Posted Location Salary Tags

LI.FI

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$80k - $100k

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LI.FI
$80k - $100k
Remote
Apply

Location

Remote EMEA

Employment Type

Full time

Location Type

Remote

Department

Data

Compensation

  • €80K – €100K • Offers Equity

The posted range represents the typical compensation range for this role. To determine actual compensation we review the market rate of each candidate which can include a variety of factors including qualifications, experience, and location. Additional benefits are shared as part of the job posting.

A quick run-down of the job

We're looking for an Analytics Engineer to design, build, and maintain the data models and pipelines that power how LI.FI understands its business and the on-chain world. You'll own the full journey from raw data to reliable, well-modeled datasets; working across blockchain data, internal databases, and third-party sources. You'll also build dashboards, support stakeholders with analytical projects, and help ensure our metrics are consistent and trustworthy. The role sits within our Data team and you'll collaborate closely with data analysts, engineers, and cross-functional stakeholders.

Please note: You must be located in the EMEA region. Your application will not be considered otherwise.

What you'll do

  • Design, develop, and maintain data models aligned with business requirements and our data architecture

  • Manage data pipelines end-to-end, ensuring timely and accurate data delivery

  • Write complex SQL queries and macros to transform data efficiently, optimizing for performance

  • Build data quality checks throughout pipelines to ensure reliable datasets

  • Analyze data from multiple sources (APIs, blockchain, databases) to generate actionable insights

  • Conduct exploratory analyses on on-chain data to identify trends, anomalies, and opportunities

  • Build and maintain dashboards on Dune Analytics and other platforms for internal and public use

  • Support stakeholders by translating business questions into clear analytical projects

  • Integrate data from different sources, ensuring proper validation and accuracy

  • Collaborate with data analysts and analytics engineers to ensure consistency in metrics and definitions

  • Maintain high standards of documentation and integrity across all work

  • Contribute to team processes, share workflow improvements, and mentor junior members

What makes a good candidate

  • At least 3 years of experience in analytics engineering, data analytics, or BI development

  • Expert-level SQL with deep experience in data modeling, complex queries, and optimization

  • Proven data modeling expertise using dbt, sqlmesh, or dataform, with solid understanding of data warehousing and ETL/ELT concepts

  • Hands-on experience building dashboards and reports with visualization tools (Preset, Omni, or Looker)

  • Experience working with on-chain data, especially using Dune Analytics

  • Strong Python proficiency

  • Experience with data validation, cleaning, and quality assurance

  • Ability to design, build, and maintain data pipelines end-to-end

  • Understanding of blockchain data structures and on-chain analytics

  • Strong analytical thinking with the ability to turn complex data into actionable insights

  • Takes full ownership of projects, holds yourself to high execution standards, and knows when to ask for help

  • Meticulous about data accuracy, documentation, and self-review

  • Clear communicator who adapts to both technical and non-technical audiences

  • Comfortable experimenting with new approaches, learning from mistakes, and adapting quickly

  • Passionate about crypto/web3 and eager to explore new tools and technologies

Nice to have

  • Cloud data warehouse experience (Snowflake is a plus)

  • Previous experience in blockchain analytics or fintech

  • Familiarity with data architecture concepts including data lakes and integrating data from multiple sources

  • Bachelor's degree in Data Analytics, Statistics, Computer Science, Economics, or a related field

We encourage you to apply if you feel your experience and skills equip you for this job but are not listed here!

Company culture

  • Embracing the differences

    • Embrace your own differences

    • Respect and welcome the unique qualities of others

    • See others’ differences as an opportunity to grow

  • Own it, do it

    • Own tasks end-to-end

    • Hold yourself to a high bar for execution

    • Make bold decisions, and be accountable

    • Understand your limitations and seek for help

  • Fail forward

    • Try - don’t be afraid to fail

    • Learn - don’t make the same mistake twice

    • Adapt - grow with the experience

  • Have fun together

    • Take the time to get to know and understand each other better

    • Don’t take yourself too seriously and keep it light-hearted

    • Fun should be coming from a place of love and respect

What you’ll get

  • Annual team offsites (Thailand in 2023 and Vietnam in 2024 were a blast, Marrakech in March 2025 was blast-ier; let’s see what happens in 2026!)

  • 30 days of PTO

  • Flexible remote days

  • Flexible working hours

  • Equity participation from day 1

  • Entitlement to work computer (choice of equipment)

  • An annual 1,000€ personal development budget once you have worked 6+ months (pro-rated the first year)

  • A one-time 1,000€ remote budget to use on coworking, office setup, etc.

If you join us as an independent contractor, you’re only entitled to the first five benefits of this list.

Application process

Setting yourself up for success starts with the application! Click here to discover valuable tips that will help you navigate our application process effectively.

LI.FI is an equal opportunity employer. We encourage individuals of all backgrounds to apply. Join us in our dedication to fostering a workplace that values and respects each team member's unique contributions.

Shortlisted candidates will undergo a comprehensive interview process, including a people operations interview, a take-home assignment, a meet-the-team & founder interview, and a reference check.

For more information, visit our page detailing our hiring process!

Compensation Range: €80K - €100K