Data Engineer

Frasers Group are currently looking for a Data Engineer to join us in our growing Data Infrastructure & Engineering team; to help develop, maintain, support, and integrate our growing number of data systems. The right candidate will have a wealth of knowledge in the data world and will be keen to expand upon their existing knowledge set learning new technologies along the way as well as supporting legacy technologies and processes. As a PLC with a £4bl turn over, the opportunity to grow your career in a fast paced and dynamic environment is one for the bold. 

As part of the role you will be responsible for:

• Coding, testing, and documenting new or modified data systems; creating scalable, repeatable, secure pipelines and applications for data analytics, both internally and externally to the business
• Growing the capabilities of the data platform(s), solving new data problems and challenges
• Supporting all manner of data flows for batch/real-time analytical solutions leveraging transformational technologies
• Maintaining the infrastructure that provides insight from raw data and handles diverse sources of data seamlessly
• Ensuring that all automated processes preserve data by managing the alignment of data availability and integration processes
• Designing key and indexing schemas and designs partitioning
• Assisting with the development, testing, implementation, monitoring and maintenance of 24x7 production database management systems
• Participating in building and testing business continuity and disaster recovery procedures as per requirements
• Ensuring that all source data systems in the production environment remain stable and usable

Required Skills:

• A solid working knowledge of database administration methodologies and techniques
• A good understanding of logical and physical database design principles.
• Strong communication skills at all levels
• Be a natural problem solver
• Work well in both functional and cross-functional environments
• Exhibit flexibility when addressing daily shifting work priorities (we are a 24x7 business)
• Have the ability to work well under pressure, using own initiative as well as part of the wider organisation

Required education and experience:

• A minimum 5 years’ experience software development or database experience
• Proficiency in writing SQL including stored procedures in languages such as T-SQL. PL/PgSQL and PL/SQL
• Proficiency in one or more database scripting languages (i.e., PowerShell, Python etc.,)
• Experience with relational database internals, including both query processing and query planning, or other data processing infrastructure across several different RDBMS systems as well as NoSQL systems
• A basic knowledge of key data structures and algorithms
• Capability in programming in 3GL languages (such as C#, C, C++ or Java)
• A solid understanding of physical database design principles, and the system development life cycle.
• Understand how to apply technologies to solve data problems and to develop innovative data related solutions
• Experience with object-oriented design, coding, and testing patterns
• Extensive experience in Microsoft SSIS, specifically designing and implementing ETL packages
• Knowledge of data modelling and understanding of different data structures and their benefits and limitations
• Familiarity with monitoring, backup, and disaster recovery of data systems
• Experience in designing, architecting, and building scalable pipelines
• Extensive experience with Linux, Unix and Microsoft platforms.

Desirable skills & Technologies

• Knowledge of SaaS and on-prem Engineering and Data Platforms (such as Snowflake, Qlik DI, FiveTran, Stitch)
• Knowledge and usage of BI Tools such as Looker, Power BI, Tableau
• Knowledge of data analysis, end-user requirements analysis, and business requirements analysis to develop a clear understanding of the business needs and to incorporate these needs into technical solution
• Experience with Spark and other analytical programming languages 
• Experience in utilising Microsoft Azure and any related tooling for data engineering(such as Azure Data Warehouse, Azure Data Lake, EventHub, Apache Spark, Azure Database, Azure Databricks, Synapse)
• Experience on engineering big data systems

An opportunity like this at Frasers Group is for the fearless. The potential is massive, the experience unrivalled. To be able to make the most of it you need to live and breathe our principles:

• Think without limits and take the team with you
• Own it and back it
• Not hesitate and act with purpose
• Be commercial and customer-focused.