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Content Engineer - London, United Kingdom - Fresha
Description
Fresha is the leading marketplace platform for beauty & wellness trusted by millions of consumers and businesses worldwide .Fresha is used by 110,000+ businesses and 450,000+ stylists and professionals worldwide , processing over 1 billion appointments to date .
The company is headquartered in London, United Kingdom , with global offices located in New York City , Vancouver , Sydney , Dubai, Amsterdam, Warsaw and Pristina .
Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive subscription-free business software and financial technology solutions.
Fresha's ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management.
The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram , Facebook and Google.
Reporting to the Lead Analytics Engineer , and working collaboratively with Product Managers , Engineers , Analysts and Commercial Leadership , you will be accountable for modeling data to provide clean, accurate datasets to empower internal and external stakeholders with reliable data.
This also entails transforming, testing, and validating data.Develop, test, and maintain robust dimensional data models from diverse data sources, including proprietary RDBMS data, data from third-party APIs, SFTPs, and external data sources
Enhance the efficiency and performance of data models, focusing on improving fitness-for-purpose, increasing accessibility of data, reducing runtimes, and eliminating waste
Establish and maintain ETL pipelines for our Snowflake Data Warehouse, adhering to the best practices in data integration, management, and protection of personally identifiable information
Advise engineering leaders on analytical requirements with new feature releases, and ensure data warehouse incorporates development changes from new feature releases effectively
Collaborate with data analysts to build new data models, ensuring that they are implemented effectively and efficiently.
Develop comprehensive data documentation to maintain consistency in understanding and communication across the team.
To foster a collaborative environment that thrives on face-to-face interactions and teamwork, all Fresha employees work from the office four days per week, with the flexibility to work remotely one day each week.
Strong experience with SQL and a solid understanding of dimensional data modeling. Proficiency in data platform concepts and data warehousingHands-on experience with modern data stack components
Demonstrated ability in improving the performance and efficiency of data models and systems
Demonstrated track record of guiding product development decisions based on data architecture best practices and analytical insights
Creative thinking and problem-solving abilities, with a proactive and autonomous approach to work
Added bonus
Components used in our
Data Stack:
Fivetran, Prefect, Snowflake, dbt and Periscope
Experience in writing ETL pipelines with SQL and Python, using orchestration tools like Airflow or Prefect
We believe in fostering growth and providing the support needed for you to excel in your role.
~ Screen call - Video-call with a member from the Talent Team - 30m
~1st Stage - Video-call with Hiring Manager - 45m
~2nd Stage - Video-call with Hiring Team m
~ We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.