Job Description

Department

IT and Business Change

Reports To

Lead Stack Azure BI Developer

Contract Type

Full Time (35 hours), Permanent

Working Arrangements/Pattern

Hybrid Working - 2 days office based

Working Location

FatFace HQ, Havant, PO9 1QJ


About us

Who are we?

For over 30 years, we've travelled, we've laughed, we've grown. We believe life is for living and


more fun with those we love.

We are Made for Life.

Our mission statement:

Crafting clothes for life's everyday adventures. Today, tomorrow and always.

Our Product formula:

Considered style. Trusted Quality. B Corp certified.

We are proud to have featured in the Sunday Times top 10 best places to work 2025 and best

places to work for women 2025.

Equality and inclusion isn't an aspiration but the standard.

We promote and drive equality


within our workforce to ignite an inclusive foundation for us all to build from and truly connect


with our customers, colleagues, and communities alike. You play a key part in creating an


environment free from prejudice, racism, sexism, harassment, bullying and any other form of


marginalisation in our workplaces.


Role Summary




This role requires an experienced and technically skilled Senior Data Engineer to play a key role


in our Data & Reporting team and drive the transformation of reporting services and data


infrastructure, whilst acting as a mentor to Engineers.




You'll be accountable for developing and optimising our Azure-based data warehouse and


pipelines, with a specific focus on enhancing and optimising SSAS (SQL Server Analysis Services)


models and architecture. You will lead ETL processes, ensure high data quality, and enable


robust, scalable data solutions.




You will facilitate data from multiple custom internal and external sources, using a wide range of


applications, to target endpoints such as Power BI. You will work with internal and external


stakeholders across the organisation to develop fit-for-purpose, analytically correct datasets


and will be constantly looking at architectural improvements whilst ensuring the reliability,


accuracy, and performance of ETL processes.







Senior Data Engineer








Sensitivity: General


This role is ideal for someone with strong experience in Azure cloud architecture, SSAS, data


modelling, and BI pipelines, who thrives in a collaborative environment and is eager to drive


innovation in data infrastructure.




Role Responsibilities


Apply best practice to Star/Snowflake schema data modelling with considerations in
challenging and verifying data quality and accuracy.
Lead the addition of new data sources to the Data Lake from 3rd party sources. Assisting with understanding internal customer requirements, technical design, and
estimation.


Lead ETL, common data structures and business intelligence architectures. Operate in a support capacity to the business, troubleshooting issues with data pipelines, errors, and maintaining production data.


Development of Data models from existing Data Sources. Undertaking code reviews and providing constructive feedback. Assist other members of the Data & Reporting team with integration and system-specific tasks.


Develop and update technical documentation. Experience with reporting software (Power BI) is essential Act as a mentor to junior team members Align self to the company's social and environmental mission and champion any actions that you can directly impact at all times.





Skills and Experience





2.1 or higher degree in Computer Science, or related Information Technology subject. 3+ years experience working with cloud infrastructure and data modelling (SQL
database, data warehouse, SQL servers, datalake storage and lakehouses, structured


and unstructured data)


Significant experience working with Azure Data Factory and LogicApps creating pipelines
ingesting data from multiple sources
Advanced T-SQL skills and Python essential Experience of Azure cloud stack services - Dynamics D365, Databases, Warehouses,
Storage, Datalake, Power Automate, Data Factory, Visual Studio, Devops, Power BI, MS


Fabric


Strong interest in analytics, data architecture and modelling. Experience of enterprise software, Azure Cloud apps, databases, data models. Understanding of Business Intelligence services and data integration processes (ETL) Knowledge of Power BI for financial reporting, dashboards and KPIs preferred but not
essential




Role Competencies


Adept at disseminating large sets of mixed content unstructured data into clean,
efficient, correctly modelled datasets
Analytical, a natural problem solver, able to find patterns and trends in data and support
incidents
Determined, persistent and proactive. Keen to understand, analyse and improve.

Senior Data Engineer








Sensitivity: General


Ability to explain technical solutions to non-technical members of staff. Ability to self-teach new BI technologies and be resourceful in finding appropriate
documentation and community support


Ability to interpret complex data and able to convert data into useful, actionable information.


Key Contacts and Relationships:

Data & Reporting Team

: Collaborate closely with team members to support ETL processes,


troubleshoot data pipeline issues, and improve data architecture.

Internal Stakeholders

: Work with various departments (e.g., finance, operations, marketing) to


understand data requirements and provide fit-for-purpose analytical datasets.

External Vendors

: Coordinate with third-party providers for integration of external data sources


into the Data Lake.

IT and Digital Teams

: Collaborate on infrastructure improvements, cloud architecture


optimization, and technical design.




Accountable for Resources:

Data Architecture

: Responsible for designing, maintaining, and improving Azure-based data


models and architectures.

Data Pipelines

: Ensure the reliability and accuracy of ETL processes and data integration


workflows.

Documentation

: Maintain up-to-date technical documentation for processes, data models, and


architecture.

Tools and Platforms

: Oversee the development and operation of tools like Power BI, Azure Data


Factory, and Datalake.

Data Quality

: Accountable for validating and improving the accuracy and quality of data from


both internal and external sources.





FatFace Benefits:

Financial & Protection Benefits

Sick pay allowances Critical Illness Income protection/ Death in service (for salaried colleagues) Pension scheme - with net deduction and salary sacrifice options Dental insurance (colleague funded)

Discounts & Perks

60% off FatFace products 25% discount at Next stores (across full price products) O2 phone discount Discounted gym membership Cycle to Work scheme (for salaried colleagues) EV vehicle scheme (for salaried colleagues) Perkbox - our online platform offering:
o Day-one access


o Exclusive brand discounts


o Wellbeing content


o Home workouts and more





Senior Data Engineer








Sensitivity: General


We are committed to building a diverse and inclusive team. If you're excited about this role but


your experience doesn't align perfectly, we encourage you to apply -- you might be just the right


fit.

Health & Wellbeing

Specsavers eye care scheme o Eye tests and contributions to glasses


Free period products EAP support 24/7 via UNUM, Retail Trust, and Fashion & Textiles Support

Learning & Development

THRIVE

- our learning management system:
o Day-one access


o 1,000s of learning resources

Time Off & Leave

25 days holiday plus bank holidays Sabbatical leave (in line with service) Enhanced family-friendly policies - including enhanced maternity leave Flexible Working Opportunities - flexible working requests can be made from day one of
employment and are considered on an individual basis.

Additional Perks

* Refer a Friend scheme