Data Engineer

Posted 2 Days Ago
Be an Early Applicant
Prague
3-5 Years Experience
Fintech • Payments • Financial Services
The Role
The Data Engineer will design, develop, and upgrade legacy data solutions within the organization. Responsibilities include maintaining ETL flows, ensuring data reliability, managing stakeholder expectations, and improving data models. The role requires strong skills in SQL and experience with ETL tools and data modeling.
Summary Generated by Built In

Company Description

About Teya

Teya exists to make sure that every small and growing business in Europe has the opportunity to thrive. We want to become Europe’s go-to software solution for these businesses, simplifying their every day and helping them reconnect with the joy of running their business. Teya was born in 2019 and is home to over 1,000 employees in 15+ countries. We've built a fast-paced, energetic, and innovative environment that is dedicated to bringing the best solutions to customers.

Job Description

Your Role

We are seeking a Data Engineer to join our team. An expert in Data warehouse design who understands how to transform complex data models into scalable products. The successful candidate will be responsible for designing, developing, and implementing upgrades to some of our legacy data solutions for our organisation. This includes the collection, storage, and analysis of large data sets from multiple companies, as well as the integration of data into business processes and systems.

Along with working in a strong Data Engineering team on building a world class scalable Data Platform.

Your main functions will include:

  • Maintain and improve ETL flows for some of our largest datasets
  • Ensure Data reliability
  • Manage stakeholder expectations around key datasets
  • Implement automation on a a legacy 1500 ETL system
  • Build, Maintain and improve Data models
  • Data warehouse design on complex data sets

Qualifications

Your Story

  • Strong SQL skills
  • At least 3 years experience in relevant field. ( Data Analytics, Analytics Engineering, Data engineering)
  • ETL tooling (DBT, SSIS, Wherescape etc.)
  • Familiarity with data modelling, data warehousing, and data pipeline design
  • Strong understanding of data structures, algorithms, and software engineering principles
  • Experience with Python

Additional Information

The Perks

  • AYCM Sporting Pass with access to hundreds of sport facilities across the country;
  • Office snacks every day;
  • Meal Voucher;
  • Monthly Travel Pass;
  • Health Insurance;
  • Friendly, comfortable and informal office environment.

Top Skills

Python
SQL
The Company
London
848 Employees
On-site Workplace
Year Founded: 2019

What We Do

Born in 2019, we are a pan-European company with a global presence. We've built a fast-paced, energetic, and innovative environment, always aiming to put our customers first. We build tools to unlock hassle-free payments, better business management, new and returning customers, all on fair terms. Our all-in-one offering is designed to simplify the everyday and unlock growth potential, to free them from the stuff that takes the joy out of doing business. Join us in building the technology solution that businesses deserve

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