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Location

Skipton, North Yorkshire | United Kingdom

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Job description

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Hours:

35 hours per week, hybrid working can be considered - minimum of two days per month to be worked from Head Office.

Salary:

£44,066 Per Annum

Closing Date:

Fri, 23 Feb 2024

Who Are We?

You’ll be Joining our rapidly expanding Engineering team, where you'll collaborate with talented Data and Software Engineers and engage closely with stakeholders throughout our Technology function and wider business. Your role is pivotal in driving our innovative solutions forward, aligning with our ambitious change agenda.

Together, you'll help shape the organization's future by pushing boundaries, and transforming ideas into reality. Join us in this journey of growth, creativity, and collaboration as we set new benchmarks in data engineering excellence. Your contribution is key to our shared success.

What’s In It For You?

Skipton values work/life balance and we are proud to support hybrid and flexible working, where possible. We have a newly refurbished head office which offers a vibrant and collaborative working space.

We have a range of other benefits available to you including;

• Annual discretionary bonus scheme
• 25 days standard annual leave + bank holidays + rising 1 day per year of service to a maximum of 30 days
• Holiday trading scheme allowing the ability to buy and sell additional annual leave days
• Matching employer pension contribution (up to 10% per annum)
• Colleague mortgage (conditions apply)
• Salary sacrifice scheme for hybrid & electric car
• A commitment to training and development
• Private medical insurance for all our colleagues
• 3 paid volunteering days per annum
• Diverse and inclusive colleague networks available for you to join including our Carers and Pride Alliance groups
• We care about your health and wellbeing – we provide a range of benefits that support this including cycle to work initiative and discounted gym membership.

What Will You Be Doing?

We’re committed to our investment in our Data Strategy and are in the process of moving from an on-premise platform to new Data Architecture using cloud-based technologies. Our new Enterprise Data Lakehouse utilises the Microsoft Azure technology stack include Data Lake, Delta Lake, Databricks and dbt. We are specifically looking for an individual who can bring their already acquired skills in this area to our team to support the design and implementation of our cloud-based platform.

You’ll work collaboratively with other Data Engineers and Analysts, as well as colleagues from across the organisation to deliver trusted solutions that meet the Society’s information needs. As a data expert you’ll play a key role in the Society change hubs and play a pro-active role in identifying process improvements and generating new ideas that will maximise the value of data for the Society.

We embrace a culture of experimentation and constantly strive for improvement and learning. Using Agile techniques, you will regularly deliver incremental enhancements to our products. You will actively participate in design and code reviews, providing direction and mentoring to others.

You will do this working in a collaborative, trusting, environment, one that encourages diversity of thought and creative solutions that are in the best interests of our customers and colleagues.

As the UK tech industry booms, this diverse sector is alive with career potential. 

What Do We Need From You?

• Design & Architecture of Azure Data solutions
• Knowledge of data modelling principles, including data lakes and warehousing tools
• Implementation of end-to-end ETL pipeline solutions
• Maintenance and optimisation of Data Lakehouse solutions to maximise performance.
• Data analysis (any exposure to analytical tools would be advantageous)
• Testing and software release management
• Experience in business process and requirements analysis
• Experience of full life-cycle software development
• Understanding of Agile methodologies
• Experience working with CI/CD pipelines.

Technology:

• Microsoft BI Stack (SSIS, SSAS and SSRS)

• Microsoft Azure - Data Lake, Data Factory, Databricks and dbt.
• Analytical Tooling – Azure ML, DataBricks

Certifications:

• Microsoft Certified: Azure Fundamentals (AZ-900)
• Microsoft Certified: Azure Data Fundamentals (DP-900)

Will be;

• Curious about technology and adaptable to new technologies
• Agile-minded, optimistic, passionate, and pragmatic about delivering valuable data solutions to customers
• Willing to mentor & support colleagues, leveraging their experience & knowledge

Diversity and inclusion are a priority for us as we continue to support our members and represent the communities we serve. We encourage applications from individuals of all backgrounds, ethnicity, gender identity, sexual orientation, disability, neurodiversity, age, family or parental status, beliefs, nationalities and religions - supporting an inclusive environment for all our colleagues to bring their true selves to Skipton.

If you have a disability, or if you have a condition that you believe may affect your performance during our selection process, we’ll be happy to discuss making reasonable adjustments to our processes for you. Please contact our Talent Acquisition team at [email protected].

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