Data Engineer

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

📋 Description

• Design and create software components for data processing and persistence solutions that handle large-scale data.

• Provide robust development leadership to team members, ensuring code quality aligns with user requirements.

• Oversee the development of entire components or subsystems, encompassing design, coding, testing, and defect resolution.

• Engage in hands-on design and development using both open-source and commercial platforms.

• Establish and uphold development best practices while mentoring team members.

• Collaborate with project architects to address non-functional ETL/ELT pipeline requirements like robustness and performance.

• Assume responsibility for unit and integration testing standards and their execution within the team.

• Oversee software product due diligence and integration processes.

• Lead troubleshooting and performance tuning efforts.

• Partner with Operations teams to guarantee that application software is ready for operational use.

• Collaborate with Security Architects and accreditors to ensure adherence to legal and security standards.

• Provide guidance to customers, managers, and team members regarding estimated efforts and technical implications of user stories and journeys.

• Contribute to technical proposals during the sales process.

• Manage, coach, and develop a small team, concentrating on performance and career growth.

• Offer direction to the team while promoting collaborative problem-solving.

⛳️ Requirements

• Proven experience in leading a team of engineers to implement data-intensive system components.

• Familiarity with design standards (patterns), development standards (style guides), and operational readiness (automation, deployment).

• Proficient software development experience in Java, Scala, or Python.

• Significant commercial experience using Palantir.

• Software development experience with data-processing platforms from providers such as AWS, Azure, GCP, and Databricks.

• Expertise in SQL or SQL extensions for analytical applications.

• In-depth understanding of distributed data stores and data processing frameworks.

• Ability to communicate technical designs clearly and simply in both written and verbal forms.

• Skilled in designing analytical and operational data models.

• Comfortable with Data Warehouse methodologies and techniques.

• AWS/Azure/GCP certification in Data Services.

• Expertise in continuous improvement and contribution to data best practices.

• Active participation in development and/or technology communities.

🏝️ Benefits

• Commitment to diversity, equity, and inclusion.

• Accommodations or adjustments available during the recruitment process.

• Recruitment process customized to individual needs through private discussions.