Data Engineer

Customer Success · Manchester, Manchester
Department Customer Success
Employment Type Full-Time
Minimum Experience Experienced

The Opportunity 


Peak are a Decision Intelligence company - we are on a mission to help organisations use AI to make great commercial decisions, all the time. Just as importantly, we are also focused on building an amazing company - one where we truly value our people & culture, and strive to make an amazing and diverse place to work. Our recent Best Companies award & 3 star accreditation for being one of the top companies to work for is a testament to this.


We have ambitious plans over the coming years; to launch and lead a new category of technology (Decision Intelligence), expand our operations and create the best working culture possible. This is a great time to join Peak and the Customer Success team, as we start the next stage of our global growth. 


The Purpose


We are looking for a skilled Data Engineer to work as part of the Customer Integration team to make CODI, the Peak AI System, even better! You’ll get to work closely with our Data Science and Customer Success teams to deliver AI solutions for our customers, ultimately helping those customers grow and optimise their business through data and AI.


The Role


Based in our Manchester office you’ll form part of a highly agile team in an environment that encourages collaboration and fosters learning. 


Integrating customers’ data into CODI is one of the most critical and complex elements of onboarding new customers. You’ll work across teams to plan and ensure the effective transfer of data, but also critically look to develop Peak’s data extraction tools within CODI.


Key Responsibilities:


  • Building data pipelines using Peak’s AI System or custom tools if required to ingest data
  • Working with Customer Success Managers and our customers to identify optimal data integration methods
  • Taking responsibility for initial bulk data upload to CODI
  • Delivering data for Data Scientists in the staging area
  • Implementing monitoring  for data ingestion jobs and take corrective action should they fail
  • Delivering project plans and estimates after understanding the data landscape
  • Building a repository of documents to explain data ingestion best practices
  • Providing constructive feedback to the Product & Engineering teams on data ingestion and integration
  • Collaborating with the DevOps team as a business data specialist to develop scripts to handle various data quality issues


Personal skills


At Peak we believe in an open, transparent and friendly relationship with our customers and co-workers. As individuals, we are approachable and trustworthy; as a company, we are highly committed to our customers and employees. We listen to and gain a deep understanding of our customers’ needs. We take pride in our work, which is always of the utmost quality, and we are confident in our ability and expertise.


We are looking for colleagues who are:


  • Open - shares success and improvements across the business.
  • Straightforward – deals with colleagues and customers in an open and transparent manner.
  • Driven – a strong work ethic to deliver real results for customers. 
  • Curious - able to conceive and deliver unique solutions. 
  • Smart – keeps up to date with the latest tech news, launches and product updates, market results and industry announcements.
  • Responsible - takes ownership and promotes responsibility in others.


Required experience:


  • Strong experience in data projects including data warehouse, data migration and data integration
  • Understanding of best ETL or API/streaming methods, including parsing of different data structures (XML, JSON, CSV) 
  • Strong technical background in ETL tools (including queuing and caching), SQL and databases 
  • Experience using and creating APIs, with knowledge of ReSTful best practices (HTTP response codes, Headers, Authentication)
  • Understanding of failure handling, retry approaches and error reporting
  • Evidence of programming and query language skills required for building data pipelines - extracting data, performing data transformation and processing, output etc. 
  • Good customer facing skills and ability to explain complex problems in a clear way. 
  • Ability to work with both technical and non technical teams
  • Cloud technologies and big data knowledge would be an advantage.


The Peak Platform


CODI is a new Decision Intelligence system, putting AI in the hands of commercial leaders to drive great decision making. Leveraging serverless architecture, the CODI is built for handling data at scale. CODI enables businesses to productionize AI, end-to-end, in a single platform. Insights and intelligence can be accessed via an array of outputs including in-built and custom apps, integrated via APIs and more.


You can read more about CODI on our website too.


As an AWS Machine Learning and Retail competency partner, that is where we host our infrastructure. Be ready to dive into the inner workings of the platform to debug and resolve issues, we want our Data Engineers to be as autonomous and self-sufficient as they can be, continuously learning and getting practical experience of our favourite technologies.


Benefits


  • Opportunity to help scale Peak and make a large impact in a fast-growing company with global ambitions.
  • Competitive compensation package, share options, pension and generous holiday entitlement.
  • Working with cutting edge tech - you will develop skills and experience essential in the modern economy.
  • A fantastic working environment with open communication channels, flat hierarchy and a truly collaborative style.


About Peak

In an age when becoming AI and data-driven is one of the most important things businesses must do, it can also be one of the most challenging. That’s where Peak comes in; our CODI system sits at the heart of our client’s businesses, enabling the rapid unification, modelling and - most importantly - use of data - helping decision makers make great commercial decisions, powered by AI. All supported by our world-class data science team.


Founded in 2014, Peak has grown rapidly, in line with the world’s fastest growing SaaS companies, winning numerous awards and attracted significant funding to support the company’s ongoing investment in machine learning and AI technologies. All to further our mission to become the world’s leading AI System business.


Headquartered in Manchester, Peak also has offices in London, Edinburgh, Jaipur and Brisbane. Our clients include some of the world's leading retailers, manufacturers and well-known brands alongside highly innovative and tech-savvy businesses. Peak is an Amazon Web Services (AWS) Partner, and holds Machine Learning Competency and Retail Competency status.


Find out a whole lot more on our website 


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  • Location
    Manchester, Manchester
  • Department
    Customer Success
  • Employment Type
    Full-Time
  • Minimum Experience
    Experienced