Senior Data Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Design, develop, and implement data pipelines and ETL processes for the ingestion, transformation, and loading of data into the data platform.

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

• Create data models and schemas to facilitate efficient data storage and retrieval.

• Establish data quality and validation processes to guarantee the accuracy and consistency of data.

• Enhance data processes and queries for improved performance and scalability.

• Partner with business stakeholders to comprehend their data needs and offer insights and solutions for data-driven decision-making.

• Collaborate closely with data scientists to equip them with the necessary data and tools for developing revenue-generating insights and models.

• Enforce data governance and security measures to ensure data privacy and adherence to regulations.

• Stay informed about the latest data technologies and trends, providing recommendations for technology adoption and enhancements.

⛳️ Requirements

• Strong understanding of Azure data tools, particularly Databricks.

• Demonstrated experience as a Data Engineer, specifically with Azure data services.

• Comprehensive knowledge of data modeling concepts and both relational and non-relational databases.

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

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

• Knowledge of big data technologies and frameworks (e.g., Hadoop, Spark) is an advantage.

• Understanding of data governance and best practices in data security.

• Strong analytical skills and attention to detail.

• Excellent communication and teamwork skills to function effectively within a team environment.

• Experience with Agile methodologies is a bonus.

• Comfortable solving problems independently as well as collaboratively.

• Proactive in reaching out to stakeholders and colleagues to resolve issues and clarify concerns.

• Enjoy working in a remote setting.

• Strong enthusiasm for new technologies and a desire to learn about them.

🏝️ Benefits

• Competitive salary and compensation package.

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

• Remote work with frequent team social events.

• Opportunity to collaborate with a highly skilled and motivated team of experts in Cloud, Big Data, and Machine Learning.