Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer to join our team and play a pivotal role in designing, implementing, and managing new data technology infrastructure. You will be responsible for building and maintaining a scalable and robust cloud-based platform that consolidates existing legacy data services. The platform will enable efficient data management, automation of processes, and provide high-quality data services to our users and tooling. The role is 100% remote but the successful person must reside in Romania.

Key Responsibilities

- Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform.

- Collaborate with the Lead Architect and Cloud Engineer to ensure the seamless integration of data services within the cloud infrastructure.

- Develop data models and schemas to support efficient data storage and retrieval.

- Implement data quality and validation processes to ensure the accuracy and consistency of data.

- Optimize data processes and queries for performance and scalability.

- Collaborate with business stakeholders to understand their data requirements and provide insights and solutions for data-driven decision-making.

- Work closely with data scientists to provide them with the necessary data and tooling for developing revenue-generating insights and models.

- Implement data governance and security controls to ensure data privacy and compliance with regulations.

- Stay updated with the latest data technologies and trends and make recommendations for technology adoption and improvements.

Skills, Knowledge and Expertise

- Excellent understanding of Azure data tools, especially Databricks

- Proven experience as a Data Engineer, working with Azure data services.

- Strong understanding of data modeling concepts and relational and non-relational databases.

- Proficiency in SQL and experience with data integration and ETL tools (e.g., Azure Data Factory, Azure Databricks).

- Experience with data warehousing concepts and technologies (e.g., Azure Synapse Analytics, Azure Data Lake Storage).

- Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus.

- Knowledge of data governance and data security best practices.

- Strong problem-solving skills and attention to detail.

- Excellent communication and collaboration skills to work effectively within a team environment.

- Experience with Agile methodologies is a plus.

The Ideal Candidate

- Enthusiastic, motivated self-starter.

- Comfortable problem solving alone as well as part of a team.

- Confident reaching out to stakeholders and colleagues in order to solve problems and understand issues.

- Happy in a remote working environment.

- Keen interest in new technologies and learning about them.

Benefits

- Remote-first working with flexibility around client needs.

- Projects with global brands & public sector leaders, working on real-world impact.

- Exclusive access to AWS & Databricks certifications, training, and partner tools.

- A collaborative culture of technical excellence and continuous learning.

- A lead role in shaping delivery standards and future Data & Consulting practices within the firm.

- Competitive salary and long-term growth opportunities.

Originally posted on Himalayas