Senior Data Engineer

Mid-level • Full-time • Remote in Cluj-Napoca
HDTVT007
30
Remote

Job Summary

Our partner combines innovation with great domain expertise to help market participants address the challenges of trading and maintain their focus on business growth.

They deliver fast, reliable solutions for connectivity, trading, and compliance. Customers rely on their solutions to consolidate their connectivity and trading infrastructure, addressing the full trade lifecycle across asset classes.

They have a unique design philosophy. Modular architecture with open interfaces to facilitate business-specific deployment as well as integration with third parties. This flexibility translates into agility for third parties, meaning faster time-to-market and the ability to quickly adapt to business needs and regulatory change.

Overview

This is a global role with many interactions across functions, covering the full data workflow within our partner's organization, collaborating closely with Sales, Finance, Customer Support, Engineering, and Solutions Delivery teams/departments. As a Data Engineer, you will be involved in extracting, transforming, and loading (ETL) for moving data from one application to another/data warehouse and transforming it into the preferred structure. You will grow and maintain the BI solution for the whole group and perform backups of the data warehouse, also will have a close look at the meaning of the different kinds of data across all departments. You will liaise with the internal stakeholders to discuss & define the functional requirements.

The main technologies used:

  • For creating, maintaining, and improving the data pipelines (Talend, Terraform)
  • For computing the information in the data warehouse BigQuery (SQL)

Requirements

  • +4 years of experience in building data pipelines/data models, providing technical expertise on data storage structures, data mining, and data cleansing;
  • Experience with Talend or similar ETL tools;
  • Strong verbal and written communication skills;
  • Ability to analyze large datasets and understand the business requirements;

Nice to have: experience with Python

Benefits

  • Wellness & Health
  • Insurances & Safety
  • Enhanced annual leaves (25 vacation days)
  • Unlimited Work from Home days
  • Flexible working time
  • Support for learning and development
  • Internal & international mobility

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