Transforming Data into Value: Senior Cloud Data Engineer

3 weeks ago


Remote Wroclaw, Czech Republic Proxet Full time
Data Engineer Job Overview

Proxet is seeking a skilled Senior Data Engineer to play a pivotal role in shaping the data infrastructure for our finance-related project. As a key member of our team, you will design and maintain scalable data pipelines that ingest and transform data from external platforms, ensuring high-quality, reliable, and accessible data products for business use.

Job Description

As a Senior Data Engineer, you will collaborate directly with engineering, product, and business teams to understand their data needs and deliver tailored technical solutions. Your expertise in designing and implementing data warehouses, data lakes, and data pipelines will be crucial in transforming raw data into well-structured formats that meet our organization's needs. You will work closely with cross-functional teams to ensure interoperability, stability, and code reusability across various platforms.

Required Skills and Qualifications

* Strong proficiency in Python, SQL, and data systems development life cycle
* Experience with Google Cloud services, including BigQuery, GCS, and DBT
* Knowledge of data governance, data quality, and data security best practices
* Excellent communication skills and ability to facilitate knowledge sharing among team members
* Familiarity with modern data stack technologies, including Terraform, GitHub Actions, and OpenAI
* Proven background in collaborative efforts with product managers and fellow engineers within distributed multicultural teams

Salary Estimate

Based on industry standards and location (Remote Poland/Europe), we estimate a salary range of €80,000 - €110,000 per annum, depending on experience. This figure includes a base salary and performance-based bonuses.

About the Project

Our client is a renowned venture capital firm managing its fund using Salesforce as the central data repository. The existing data landscape is fragmented, making it challenging for analysts to rely on accurate data due to possible human errors and complicated data management. We aim to build a unified data platform integrated with Salesforce, fund accounting, and other existing systems to efficiently transform financial, legal, and ops data into data marts ready for interaction and comprehensive visualization with BI tools on the web and mobile platforms.

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