Job Description

Are you ready to chart your own career path? At SJP we need talented individuals like yourself to support our evolving culture. If you're seeking an employer that is passionate about excellence, innovation and autonomy, SJP could be the place for you.

At a glance:

Location:

Cirencester Office

Workplace Type:

Hybrid

Employment Type:

Permanent

Seniority:

Mid-Senior Level


Number of Roles Available: 2


The Data and Insights Division is comprised of four key areas: 1. Data Governance and Intelligence 2. Data Acquisition, Quality, Strategy and Literacy; 3. Data Insights; 4. Data Architecture, Platform and Engineering. This presents an opportunity to design a data strategy aligned with the organization's goals and execute the delivery of data effectively. D&I enables SJP to leverage value from its data through actionable insights and data led decision making.


The Data Architecture, Platform and Engineering(DAPE) Division integrates architecture, platform and engineering to establish guidelines, principles and development standards aimed at building a secure, resilient data platform for the future. It plays a key role in supporting the SJP data ecosystem, driving towards the SJP data strategy and advancing the decommissioning roadmap.


Working in the DAPE division the role holder will be responsible for designing, implementing and maintaining scalable data pipelines and systems allowing large datasets to be managed, processed, and analysed effectively. They will ensure that data flows are optimised, data quality measurement is enabled, and appropriate technologies utilised.

What you'll be doing:

Developing data engineering solutions ensuring they balance both functional and non-functional requirements. Building, testing and deploying scalable data pipelines to ingest, transform and store large volumes of data, on a core system, from various sources such as Bluedoor, Rowan Dartington, Salesforce, 3rd Party Providers. Establishing, modifying and maintaining data structures and associated components and provide specialist expertise in the design characteristics of database management systems or data warehouse products. Designing and developing integration of the data platform with other enterprise systems, such as CRM, ERP, and marketing automation platforms allowing seamless data sharing and analysis across the organisation. Optimising data workflows for efficiency, speed and cost effectiveness and troubleshooting and resolving performance issues where necessary. Enabling the monitoring of infrastructure performance and health and ensuring the platform continues to meet analytical and business needs. Working with the Data Acquisition and Data Governance teams to ensure data quality, lineage and security frameworks are taken account of in all developments. Providing guidance in the selection, provision and use of database and data warehouse architectures, software and facilities.

Who we're looking for:

We are looking for an experienced Senior Data Engineer who will ensure best practice standards are followed, and all work aligns to the appropriate guidelines. The role holder will mainly be developing on the Data platform however other systems may also require development and maintenance. They will also ensure testing is carried out appropriately and assist the Data Platform team with enabling the implementation of principles and improvements.

Essential Criteria

Extensive experience working in data engineering and data integration positions. Highly capable of using data tools and technologies including; Snowflake, SQL, AWS and/or Azure Highly experienced in projects lifecycle and experience working alongside PMS, BAs, Testers, and Developers. Key skills in root cause analysis, troubleshooting and resolving performance issues/defects.

Desirable Criteria

Expert snowflake development and engineering knowledge. Capable of using other data tools including; Talend, MuleSoft, Matillion, SSIS. Experience in data integrations and integrating data to answer business questions. Competent stakeholder management skills and capable of fostering mutually beneficial relationships across multiple business areas. Bachelor's degree or equivalent in Data Science, Computer Science, Mathematics or similar STEM subject.

Special Requirements:

Some business travel may be necessary

What's in it for you?

We reward you for the work you do,

whether that's through our discretionary annual bonus scheme that reflects both personal and company performance, competitive annual leave allowance (28 days plus bank holidays, with the option to purchase an additional 5 days), or online rewards platform with a variety of discounts.

We also have benefits to support whatever stage of life you are in, including:

Competitive parental leave (28 weeks full pay) Private medical insurance (optional taxable benefit) 10% non-contributory pension (increasing with length of service)

Reasonable Adjustments

We're an equal opportunities employer and want to ensure our recruitment process is accessible and inclusive for all, if you require reasonable adjustment(s) at any stage please let us know by emailing us at careers@sjp.co.uk

Research tells us that applicants (especially those from underrepresented groups) can be put off from applying for a role if they do not meet all the criteria or have been on an extended career-break. If you think you would be a good match for this role and can demonstrate some transferable experience please apply, regardless of whether you tick every box.

What's next?

If you're excited about this role and believe you have the skills and experience we're looking for, we'd love to hear from you! Please submit an application by clicking