Job Description

Benefits

Up to 33 days' holiday plus long service increase (FTE)

Private health insurance

Hybrid working with flexible hours

Staff policy discount

Workplace pension scheme

Free staff gym

Free Parking

Onsite kindergarten (discounted fees available)

Who We Are

The Insurance Emporium protects many of the passions that make our lives so rich. Whether it's your pets, horses, caravans or more, our insurance products are designed to work for you as an individual.

An exciting opportunity is available to join our Data Integration and Analysis team as a Senior Data Integration Analyst. You'll be part of our Data Integration team, reporting into the Data Integration and Analysis Team Lead. You will have a fantastic opportunity to support many different business areas through our digital data transformation journey.

This is an exciting time to join the team, as we develop our data integration and analysis portfolio, where the role is far-reaching and has endless opportunities to develop and progress your career.

Who we are looking for

You will be a highly experienced and motivated Senior Data Integration Analyst to lead and optimise back-end data integration for our Qlik Sense SaaS environment. You will have at least 4 years' experience in data integration, engineering, or BI roles, with proven expertise in designing complex, scalable, and robust data pipelines. You will be comfortable mentoring colleagues, driving best practices, and shaping data architecture to deliver high-quality, reliable solutions.

You will be;

Designing, developing and optimising automated data pipelines and integrations for Qlik Sense SaaS, including data load scripting, monitoring, alerting, app design and cloud integration.

Leading ETL, ELT and API integration projects, connecting relational and cloud-based data sources.

Strong experience of working with SQL.

Experience of working with Python.

Experience of Command Line Interface (CLI).

Working with Data Warehouses, Data Lakes or Data Lakehouses, ensuring scalable and maintainable architecture.

Ensuring data quality, governance and documentation standards are applied across all pipelines.

Identifying trends, anomalies and insights in data to inform business decision-making.

Mentoring and guiding team members, reviewing and optimising production code, improving team processes and leading architectural decisions.

Collaborating with stakeholders to deliver high-quality solutions, meeting deadlines and business objectives.

Leveraging AI/ML technologies for predictive insights, anomaly detection and data pipeline enhancements.

Designing and implementing automation frameworks, pipelines and key documentation to ensure consistent and scalable delivery.

Working independently and as part of a team to solve complex data problems and support strategic goals.

What the role entails

The Senior Data Integration Analyst will play a key role in designing, developing, and maintaining robust data pipelines whilst supporting the wider Data Integration and Analysis team. You will work closely with the Data Integration and Analysis Team Lead, mentor other members of the Data Integration team and ensure high-quality, secure and optimised delivery of data across the enterprise. Key responsibilities include:

Working closely with the Data Integration and Analysis Team Lead in plan deliverables.

Maintaining and updating relevant documentation, standards and process guides.

Triaging and managing incoming data integration requests.

Facilitating Data Integration team meetings and delivery of demos, presentations or workshops.

Gathering, interpreting and translating data integration requirements.

Cleansing, formatting and integrating data from multiple sources.

Optimising existing production data pipelines for performance, reliability and scalability.

Designing, developing and delivering new data pipelines.

Conducing data integration code reviews and audits to ensure quality and consistency.

Developing dynamic insights and monitoring capabilities for both the back end and wider Qlik eco-system.

Mentoring other team members, promoting best practices and supporting development with the team.

Researching and proposing innovative solutions to data-related problems and opportunities.

Ensuring all data is processed in a timely, secure, accurate and consistent manner.

Undertake appropriate learning and development activities to continuously enhance professional skills.

Please note, the successful candidate will be required to undergo a Basic DBS check

Job Type: Full-time

Pay: 40,000.00 per year

Benefits:

Bereavement leave Company events Company pension Enhanced maternity leave Enhanced paternity leave Flexitime Free parking On-site gym On-site parking Paid volunteer time Private medical insurance Sick pay
Application question(s):

Do you have a driving license and have access to a motor vehicle? Do you live within 50 miles of YO26 9SS?
Work authorisation:

United Kingdom (required)
Work Location: Hybrid remote in York, YO269SS