Lead Azure Data Engineer

Key Responsibilities:

Technical Skills/Strategy & Delivery

• Azure Cloud Platform Skills; Azure Synapse, Azure PaaS services, PowerBI.
• Programming/System Skills/Knowledge; Python, SQL, Spark
• Contribute to the delivery of our analytics strategy, enabling all users with the capability to access data and insights for decision making,
• As data engineering leader, create the global standards and principles for delivering consistent data engineering designs and tools across all engineers.

Policy, Process and Procedures

• Coordinate technical design on squad & data architecture team
• Support the design and delivery of the data engineering framework on Azure Synapse, with a focus on building out our single version of truth.
• Co-Create the engineering standards for the analytical data sets and reports to ensure consistent delivery of analytical products across
• Reviewing user requirements, lead the design of user Interface designs in Power BI including the guidelines for using the appropriate visualisations to match the insights use case.
• Explains technical considerations at related meetings, including those with internal clients and less experienced team members.
• Reviews end product with the client to ensure adequate understanding and confirmation the deliverables meet user acceptance criteria before production.
• Provide data analysis, engineering, data model, and data management guidance the rest of the engineering unit.
• Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.
• Gains expertise in tools, technologies, and applications/databases in specific business areas and company-wide systems.
• Troubleshoots software and processes for data consistency and integrity.
• Proactively seek opportunities to improve Client's data to increase employee productivity, efficiency, and satisfaction.
• Identifies/supports continuous improvement and step-change opportunities, to increase cost effectiveness and/or infrastructure flexibility.

Environmental Awareness/Customer Focus

• Deliver a cost-effective, performant data services to contribute to Client's profitability and business performance.
• Participate in both large- and small-scale projects for the design, transition, and operational activities associated with the delivery of new or existing data assets or services to the user community.
• Build trusting, productive, and sustainable relationships and partnerships with customers to allow our data function to deliver maximum value in the services offered across the data services portfolio.
• Works with key stakeholders/business managers to encourage adoption of our single version of data truth, ensuring this is used by all for delivering insights.
• Maintains regular contact with the business and cross functional IT teams to promote, support, and monitor progress and ensure clarity for new and existing data capabilities and data assets.
• Develops and foster a service- orientated culture within the IT team to deliver and optimize service offerings and implement initiatives to drive consistent service delivery.
• Comply with external and internal regulatory and statutory policies, procedures, and regulations.

Technical Performance

• Demonstrate extensive experience in building data engineering pipelines, within a data lake house environment.
• Significant experience in working within cloud-based data infrastructure most notably Azure including tools such as Data Factory, Data Bricks, Synapse and Power BI
• Experience coding in both SQL, DAX
• Basic understanding of python and SQL within a Spark environment
• Participate and undertake applicable professional, technical and career development training (delivered internally and externally) to include attainment of associated qualifications where required.

Skills & Experience:

• Specific professional qualifications at the level of degree or equivalent (eg, computer science, management of information systems or similar).
• At least 7 years of experience as a senior data engineer and design experience in the Microsoft tech stack including on Azure cloud, Python, Coding
• Expert in creating visualisations that support decision making.
• Experience within Financial Services (especially Insurance)
• Qualified within own personal discipline, with extensive post-qualification work experience to include:
  • Evidence of supporting technical and operational strategy.
  • Working as part of a senior team within a complex organisation (preferably within financial services industry)
  • Hands-on experience with computer networks, network administration and network installation.
• Strong data engineering experience using Azure engineering tools such as Azure Synapse as part of a single version of truth.
• Experienced in building data infrastructure and engineering standards to bring consistency for the of data products.
• Expert in the selection of visualisations and charts to get maximum benefit from insights to support decision making.
• Strong communication skills both written and verbal.
• Able to manage conflicting priorities to achieve deadlines.
• Strong customer orientation skills.
• Ability to collaborate effectively within a team environment.
• Excellent interpersonal, and organisational skills.
• Ability to analyse data and use for decision-making.
• Strong attention to detail
• People leadership - ability to engage and lead a team.
• Able to work independently.
• Able to execute within agile processes, tracking capacity and deliverables in collaboration with team members.
• Resource and budget management

We are committed to offering an inclusive recruitment experience. If you require accommodations because of disability or health condition, please email. This position is being sourced through our Outsourcing service line.