Data Engineer

Data Engineer

Bond street

70k

ROLE OBJECTIVE

This role requires a strong understanding of data architecture, data modelling, and performance optimisation. The role will contribute significantly to the company’s success.

There are opportunities for professional development, such as training programs, certifications, and career advancement paths.

KEY RESPONSIBILITIES

• Design, develop, and maintain scalable data pipelines
• SQL, Azure ADF, Azure Functions, DBT
• Collaborate with analysts and stakeholders to understand their data needs, scoping and implementing solutions
• Optimising and cleaning of data warehouse, cleaning existing codebase and creating documentation.
• Monitor and troubleshoot data pipeline issues
• Provide technical support and guidance to junior team members
• Provide ongoing support for business applications.
• Provide help with data analysis using SQL, Qube, Tableau, Hubspot and excel.
• Perform systems analysis, business process analysis and design.
• Project Management, developing project plans, and monitoring performance.
• Monitoring deliverables and ensuring timely completion of projects.
• Research and other ad-hoc tasks as needed.
• Stakeholder Management

This is not an exhaustive list of the duties that may be required of the post holder. Duties may be changed, after discussion, to suit the operational requirements of Olympus Tech.

KNOWLEDGE, SKILLS AND EXPERIENCE

Technical

• Educated to Degree Level, or equivalent, in Computer Science, Information Technology or related discipline.
• Proven experience in software support and technical/business/data analysis.
• Able to communicate effectively and clearly in writing and verbally, including drafting correspondence and documents and good presentation skills.
• Experience with business intelligence and reporting tools like Tableau, PowerBI or similar.
• Experience with version control systems (e.g. Git)
• Ability to work in an Agile environment
• Experience with Microsoft SQL.
• Experience with ETL Tools and Data Migration.
• Experience with Data Analysis, Data mapping and UML.
• Experience with programming languages (Python, Ruby, C++, PHP, etc).
• The ability to work with large datasets across multiple platforms with confidence.
• A systematic and analytical approach to problem solving with the ability to communicate technical information to both technical and non-technical audiences.
• Excellent skills with Microsoft Excel.

Essential

• Self-motivated, with high energy and enthusiasm.
• Strict attention to detail.
• Highly intuitive and tech savvy.
• Ability to work in a varied and demanding role with appropriate supervision.
• Ability to work to strict deadlines and be organised and efficient.
• Pragmatic, creative and strategic approach to problem solving, with emphasis on fast and practical solutions.
• Demonstrable experience of taking responsibility for own actions and development opportunities, maintaining high levels of integrity.
• Strong leadership and teamwork
• Experience in working in an environment that is dynamic and fast paced.
• Is personable and can easily building relationships to create consensus with internal and external parties (procurement, legal team, infrastructure, sales, back office, fund, etc).
• Ability to work effectively with senior management and cross-functional teams.
• Commitment to equality, diversity, and mutual respect; accepting differences and treating everyone fairly.
• The ability to think outside of the immediate task and constantly look at ways of improving processes.

Desirable

• Experience with Snowflake, Azure, AWS
• Experience with GA4, Search Console and Meta data sets
• Experience with property management software MRI Qube, Yardi or similar.
• Experience with complex databases
• Experience in system support, monitoring & troubleshooting.
• Experience of working in environments with high information security standards to meet needs of ISO27001, SOC2 and GDPR etc
• Experience with AI and/or Machine Learning
• Project planning and management experience.
• Experience with finance systems i.e. Sage, Qube, IRIS or similar.
• Experience with CRMs such as HubSpot or similar.