Data Engineer

About the role:

Harding+ continues to prioritize data-driven strategies. We are seeking a Data Engineer to lead the development, maintenance, support, and integration of our expanding array of data sources into both on-premises SQL data warehouses and modern Lakehouse architectures hosted on Azure. This role is integral to our Reporting & BI ecosystem, as it supports our Commercial, Operational, and Finance functions through robust, scalable, and innovative data solutions. 

In this position, you'll be responsible for designing, building, and optimizing data warehouses using best practices in dimensional modelling, Kimball methodologies, star schema design, and Data Vault principles, ensuring adherence to sound data architecture practices.

Based inAvonmouthon ahybrid workingbasis – 2 days in office per week

Compensation –competitive salary, bonus scheme, pension, 4 x life assurance, healthcare cash plan, 26 days leave annually

What you will be doing:

Data Warehouse Optimisation:

Performance Tuning:Analyse, optimise, and refactor existing stored procedures, ETL jobs, and data workflows to improve performance and reduce load times on the current data warehouseCapacity Management:Clean up and enhance the efficiency of the current Power BI Premium (P1) instance, ensuring optimal resource allocation and utilization as data volumes and complexity growJob Scheduling & Monitoring:Review and maintain the scheduling of data jobs to ensure timeliness and reliability, improving operational processes to meet evolving business needsData Quality & Governance:Implement data quality checks, governance, and performance monitoring for both ETL processes and reporting outputsOperational Support:Provide ongoing support for the existing data platform, responding to and resolving performance issues, data quality concerns, and user queries

Migration Leadership & Futureproofing:

Cloud Migration Strategy:Lead and actively execute the long-term migration of the on-premises data warehouse to Microsoft Fabric, including hands-on development and implementation of a robust strategy for transitioning datasets, ETL pipelines, and reporting solutions to the cloud.ETL & Pipeline Development:Build scalable ETL processes using Azure Data Factory, Azure Synapse, and other Fabric-native tools, ensuring a smooth integration between the on-prem and future cloud environments.Cloud Infrastructure Design:Design and implement Azure-based data architecture, leveraging tools like Azure Data Lake, Azure Synapse Analytics, and Fabric’s data capabilities to future-proof the platformAzure Expertise:Utilize Azure tools such as Synapse Analytics, Logic Apps, and Azure Functions to streamline data processing and orchestration across the business.

End-User Reporting & Analytics:

Power BI Optimisation:Lead optimization efforts in Power BI, leveraging Power BI Premium features such as incremental refresh, paginated reports, and composite models to enhance reporting performance and scalability.DAX and Data Modelling:Write advanced DAX and perform complex data modelling within Power BI to support high-quality, dynamic reporting.Self-Service BI:Empower stakeholders to build their own reports and dashboards by enhancing data accessibility and developing self-service capabilities

About you:

Data Warehouse Expertise:Extensive experience in maintaining and optimizing on-premises SQL Server data warehouses, focusing on stored procedures, indexing, partitioning, and load performance. A proven track record in designing and building data warehouses using Kimball methodologies, dimensional modeling, star schema design, and Data Vault techniques is essential. You should be well-versed in applying data architecture principles to create robust, scalable solutions Azure Cloud Proficiency:Deep understanding of Azure cloud tools such as Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and Logic AppsMicrosoft Fabric:Hands-on experience with Microsoft Fabric or similar modern cloud platforms, with a strong focus on data migration strategies and ETL developmentAdvanced SQL & Python:Proficiency in writing advanced SQL queries, stored procedures, and Python scripts for data manipulation, pipeline development, and automationETL & Data Pipelines:Experience with ETL tools (both on-prem like SSIS, and cloud-based like Azure Data Factory) for creating, optimising, and maintaining data pipelinesPower BI Premium:Skilled in Power BI Premium, including data modelling, DAX, performance tuning, and advanced reporting features like composite models and incremental refreshMaster Data Management:Proven expertise in Master Data Management (MDM) practices to ensure data consistency, accuracy, and effective governance.Data Governance & Security:Strong understanding of data governance, security best practices, and compliance requirements (GDPR, etc.) Experience working with Agile methodologiesStakeholder Communication:Excellent communication skills, capable of collaborating with both technical and non-technical stakeholders to translate business needs into effective data solution Must have an existing right of eligibility to work in the UK

Key Attributes –trust, collaboration, respect, passion, drive, resilience

About us:

Harding+ is leading the way in innovative onboard cruise retailing, working closely with our cruise line partners and brand partners to ‘make every cruise better’. We stay at the forefront of retailing and consistently provide outstanding customer service, culminating in winning the Cruise Retailer of the Year award for 2022 and 2023.

Harding+ is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success, making recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Harding+.

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