Pack is the people development platform for companies building the next generation of talent. We help you transform performers into A-Players — not with generic training, but with precision coaching, strategic mentorship, and a system that scales.

We combine:

An international network of elite mentors and operators

A platform that turns growth into a process, not a guess

A proprietary methodology rooted in behavioral science and execution

WHY WE NEED YOUR HELP

We are looking for a Senior Data Analytics Engineer to build our data function from the ground up.

We need a builder who can help us forging the strategy leveraging a first principle thinking.

You will not just be executing tickets; you will be defining the "how" and the "why." You will act as the Architect, Product Manager, and Engineer all in one, ensuring that we build a scalable, trustworthy foundation that drives business decisions.

OUR VALUES:

People-Focused

Relentless Growth

Straightforward Execution

Founder Mindset

MAMBA MENTALITY:

"Hard work outweighs talent.

Mamba mentality is about 4 a.m. workouts, doing more than the next guy, and then trusting in the work you’ve put in when it’s time to perform. Without studying, preparation, and practice, you’re leaving the outcome to fate. I don’t do fate."

Kobe Bryant

🟠 About the role

Primary Responsibilities

Architecture & Strategy

Design the Stack: You will evaluate our current needs and contribute to design the appropriate data architecture. You will actively participate in defining the right balance between speed and scalability, choosing the tools that fit our stage (whether that is a modern data stack, product analytics, or a hybrid).

Build from Scratch: You own the "plumbing." You will set up the infrastructure to ingest, transform, and store data from our production systems and third-party tools.

Scalability: Design a system that serves us today but won't break when we scale 10x.

Data Quality & Validation (The Guardrails)

Trust is Everything: You are the gatekeeper. You will implement automated testing and validation rules to ensure that if a metric looks wrong, we know about it before the CEO does.

Instrumentation Standards: Work with Full Stack engineers to define what we track. You will create the Tracking Plan to ensure data consistency across the platform.

Metrics Definition & Visualization

Partner with leadership to translate vague business questions into strict mathematical definitions (e.g., Retention, MRR, Activation).

Build the "Source of Truth" dashboards that Leadership and Product teams check every morning.

Ensure logic is DRY (Don't Repeat Yourself) and version-controlled.

Secondary Responsibilities

Culture & Democratization

Educate the wider team on data literacy.

Ensure that the data stack you build is accessible enough for Product Managers and Customer Success to self-serve answers.

AI & Future Readiness

Ensure our data structure is clean, organized, and documented enough to support future AI/ML initiatives.

⚠️

We know you may not have all these characteristics but, if you think you are the right person, we would love to meet you.

Requirements

Technical Skills:

English level: B2, we are an international team and all meetings and communication are in English.

Data Architecture: You have a strong opinion on how to structure data for a startup. You understand the trade-offs between ELT, ETL, and direct querying.

SQL Mastery: Expert-level SQL skills. You can manipulate data in any environment (Warehouses or Application DBs).

Validation Mindset: You are obsessive about data quality. You don't assume data is clean; you prove it with tests.

Engineering Best Practices: You treat data code like production software—git, CI/CD, and code reviews are non-negotiable.

Programming: Proficiency in Python (or similar) for custom scripts, orchestrations, or data transformations.

Nice to Haves:

Experience with PostHog: Experience setting up, managing, or querying PostHog (including HogQL) is a plus.

The "0 to 1" Journey: You have set up the very first data stack in a startup before.

Modern Data Stack: Experience with dbt, Snowflake/BigQuery, and Fivetran.

Soft Skills:

Extreme Autonomy: You are the first data hire. You need to be able to set your own roadmap and execute without daily hand-holding.

First Principle Thinking: You break problems down to their core truths rather than reasoning by analogy ("We do this because everyone else does it").

The Translator: Ability to explain technical trade-offs to non-technical stakeholders clearly.

Experience Required:

4+ years of experience in Data Engineering, Analytics Engineering

Proven track record of defining metrics and ensuring data integrity.

Experience working directly with engineering teams to instrument code.

⚠️

We know you may not have all these characteristics but, if you think you are the right person, we would love to meet you.

🟠 Our Pack for you

Contract

Working hours: full time

Contract term: permanent contract.

We have designed a flexible compensation structure for our developers (and engineers), giving you the choice between two options:

Option A – Performance-Based Package

Base salary aligned with role and seniority.

Bonus up to 50% of your salary based on Company, Team, and Individual performance.

There is no cap on bonuses — exceptional performance can lead to higher earnings, linked directly to over-performance.

Quarterly evaluations determine the performance multiplier (based on Deliverables, Skills, and Culture).

Option B – Fixed-Only Package

Base salary 15-20% higher than Option A.

No participation in the performance-based bonus system.

Annual review: you can switch back to Option A during salary reviews if you wish.

Note: The fixed salary in Option B is designed to offer more financial stability for those who prefer predictability, while Option A offers higher upside potential linked to performance.

Benefits

STOCK-OPTION PLAN: we have allocated employees a specific number of shares in the company.

UNLIMITED MENTORING, COACHING & THERAPY SESSIONS: You will have the opportunity to follow a mentoring or a coaching path directly on our platform. Moreover, you will also have access to therapy sessions, thanks to our partner Serenis.

WELFARE PLATFORM & MEAL VOUCHERS: every month you will receive an amount on the Edenred Application and you will decide how to spend it.

If you want to discover more click here

"We are an equal opportunity employer and welcome applications from all qualified individuals, regardless of age, gender, ethnicity, sexual orientation, disability, or any other protected characteristic.”

🟠 APPLY NOW 🟠

Vanessa

Jan 5

AWS

See more open positions at Pack

Privacy policy Cookie policy