Appsbroker is Google’s largest Premier Partner in Europe. We deliver leading-edge cloud services to some of the world’s most exciting brands, in sectors from retail through automotive to finance. The company provides an interesting and engaging environment with an emphasis on fun and creativity across all of its activities, full of like-minded individuals who balance working hard with playing hard.
Appsbroker’s headquarters are in Swindon, Wiltshire, with easy access to major cities including Bath, Bristol, London and Oxford as well as central and southern England. There are two satellite offices in London and Iasi, Romania. Appsbroker employees also enjoy a company-owned ski chalet in France - as well as its own island off the coast of Wales, where colleagues engage in a range of fun activities such as bike polo.
Are you looking for a chance to join a dynamic and engaging organisation and use data to transform the way the world works?
The role of data in technology and business has never been more meaningful. Many of Appsbroker’s solutions focus on the intelligent usage of data to significantly improve business outcomes for our clients, in deployments from fraud detection through to essential car part ordering processes. You will be responsible for designing the end-to-end data architecture behind these services.
Appsbroker delivers its services through Google Cloud Platform, using some of the world’s most exciting new large-scale data tools, such as BigQuery and BigTable. You will work with these technologies in close collaboration with our clients to create powerful data environments and support vital business improvements.
As Data Architect, you will combine experience in customer-facing roles with the ability to lead successful technical discussions with senior SMEs. You will also work with our internal teams to provide guidance and mentoring in order to make the most of our data solutions. As part of the role you will the opportunity to stay on top of new and emerging technologies and techniques to continually optimise our data services.
Swindon, UK / London, UK
£60,000 - £70,000
Matt Penton, Data and
Analytics Team Lead
In this role you will have the opportunity to:
Collaborate with sales and delivery teams to produce proposals, Statements of Work etc
Consult, design, coordinate and execute pilots to modernise infrastructure for performance, scalability, latency, reliability
Travel to a variety of client locations, both in the UK and abroad
Possess in-depth knowledge of and able to consult on various technologies such as database, data warehousing and big data e.g., Oracle, Redshift, Teradata, Hadoop
Design data storage, movement and orchestration solutions
Create visualisations, dashboards and MIS reports
Identify, scope and participate in the design and delivery of cloud data platform solutions
Design and execute a platform modernisation approach for customers’ data environments
Design, co-ordinate and execute pilots, prototypes or proof of concepts, provide validation on specific scenarios and provide deployment guidance
Document and share technical best practices / insights with engineering colleagues and the architect community
Design solutions for structured data technologies and understand unstructured data technologies
Create and maintain appropriate standards and best practices around Google Cloud SQL, BigQuery and other data technologies
Define and communicate complex database concepts to technical and non-technical people
Mentor others to improve their skills and experience
You should have:
Knowledge of SQL 2011 including more advanced queries such as triggers, stored procedures, views, joins and subqueries
Significant experience in RDBMS such as SQL Server 2008/2012/2014,Oracle 10/11/12 or MySQL
The ability to create and interpret solution designs using UML / ERD diagrams
Experience in performance and monitoring of SQL Server/Oracle/MySQL databases
Conversance in ISO27001 data protection, PII, PCI and Role Based access to data
The ability to self-manage, self-learn and seek out answers
Experience in working with software engineers
Good documentation skills
You may find it useful to understand:
The Financial Services sector
Google Cloud Platform
ETL pattern for data ingestion (e.g. Talend, SSIS, Matillion)
Data Warehouse design
Reporting and data analytics (e.g. Tableau, Qlikview, SSRS, SSAS)
SQL database clustering
Jira and Agile Scrum methodologies