Data Engineer FitMe

Gismart

United Kingdom

Remote

GBP 45,000 - 70,000

Full time

29 hours ago
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Benefits offered by this job

Health insurance
Sports reimbursement
Psychotherapy reimbursement
18 days vacation + 3 personal days + 1
Remote-first work policy
12 public holidays

Job summary

Gismart is seeking a data engineer to own and optimize analytics pipelines across data warehouse, data lake, and data lakehouse, enabling cohort revenue, LTV, and retention insights for our BI platforms.

You will collaborate with BI, Product, UA, and Billing teams to implement ETL/ELT pipelines, support attribution models, and integrate external sources such as Meta, AppsFlyer, Stripe. This remote-first role is UK-based with opportunities to meet at Gismart hubs.

Qualifications

  • 1-2 years of commercial experience in data engineering / analytics engineering / BI development.
  • Experience with data warehouse, data lake and data lakehouse concepts.
  • Proven experience in designing, implementing and supporting ETL/ELT pipelines.
  • Experience with AWS, Amazon Redshift, Apache Airflow.
  • Advanced SQL, hands-on experience in designing production‑level Python code.

Responsibilities

  • Stakeholder support: ad‑hoc validation of figures, investigation of discrepancies between dashboards, ensuring availability of the BI platform.
  • Development and support of ETL/ELT pipelines for analytical reports (cohort revenue, LTV, retention, KPI by creatives, post‑purchase analytics).
  • Support for attribution models (WebMobile mapping, multi‑locale cost‑cohort resolve, last‑click vs raw events).
  • Integrations with external sources: Meta Marketing API, AppsFlyer, AppMetrica, Stripe, Tableau Server (TSC), Birch.
  • Data quality assurance: schema/freshness/volume checks, broken‑snapshot detection, anti‑bot‑traffic filtering.
  • Performance optimization of queries and procedures in Redshift.
  • Collaboration with BI Team, Product / UA / Billing analysts.

Skills

Advanced SQL
Python
AWS
Redshift
Airflow
ETL Pipelines
Data modeling
Terraform
dbt
Spark
Apache Airflow

Tools

Tableau Server
Apache Airflow

Job description

FitMe is a fitness app created for people who want to stay active without long, repetitive workouts. It offers short, easy-to-follow routines that can be done at home with no equipment. FitMe is perfect for busy people who want to maintain their health, boost energy levels, and feel good every day — without going to the gym or spending hours on exercise.

Requirements
  • 1-2 years of commercial experience in data engineering / analytics engineering / BI development.
  • Experience with data warehouse, data lake and data lakehouse concepts.
  • Proven experience in designing, implementing and supporting ETL/ELT pipelines.
  • Experience with AWS, Amazon Redshift, Apache Airflow.
  • Advanced SQL, hands-on experience in designing production‑level Python code.
  • Willingness to deal with business logic (subscription, monetization, attribution) — with team support.

Would be a plus:

  • Experience with Infrastructure as Code (Terraform).
  • Experience with dbt, Apache Spark, Apache Iceberg
  • Experience with UA‑attribution stack (AppsFlyer, AppMetrica, Adjust, SKAN, GA4) and UA cost APIs (Meta, Google Ads, TikTok, AppLovin).
Responsibilities
  • Stakeholder support: ad‑hoc validation of figures, investigation of discrepancies between dashboards, ensuring availability of the BI platform.
  • Development and support of ETL/ELT pipelines for analytical reports (cohort revenue, LTV, retention, KPI by creatives, post‑purchase analytics).
  • Support for attribution models (WebMobile mapping, multi‑locale cost‑cohort resolve, last‑click vs raw events).
  • Integrations with external sources: Meta Marketing API, AppsFlyer, AppMetrica, Stripe, Tableau Server (TSC), Birch.
  • Data quality assurance: schema/freshness/volume checks, broken‑snapshot detection, anti‑bot‑traffic filtering.
  • Performance optimization of queries and procedures in Redshift.
  • Collaboration with BI Team, Product / UA / Billing analysts.

Despite being remote‑first, we love meeting up in person, so we often organize events in our Gismart hubs

Learning & Development

Growth is our top priority, so we’ll cover 70% of your professional development courses and 100% of your English language courses

Mental & Physical Health

We provide health insurance, sports and psychotherapy reimbursement

Time Off Policy

18 days of paid vacation, 3 paid personal days, plus 1 day for each year at Gismart

Public Holidays

Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year.

100% Sick Leave Compensation

Personal Equipment Policy

You can use our corporate devices or work on your own laptop and get a monthly depreciation compensation

Remote-First Work

Work from home anywhere in the world, in one of our Gismart hubs, or in a coworking space, which we’ll pay for

Gismart is a mobile app developer with award‑winning products in Health, Wellness, Utilities & Music and over 1 billion downloads across the globe.
Our apps inspire and empower people to build a healthy lifestyle that’s sustainable and enjoyable
Our Wayof Working

D

Deliver what matters

"There’s real pride when something we built goes live."

R

Respect and support others

"Whenever I’m stuck, there’s always someone who jumps in to help - no judgment."

I

"If you give them a task, they’ll not just do it - they’ll think of a better way to solve it."

V

"I always know where we’re heading and why - no surprises."

E

"Always aims to improve the product, even when it’s already good."

If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you.
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