Data Engineer

Peak.ai -

Full-time (Permanent)

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 demand for AI solutions continues to grow and Peak is perfectly placed to capitalise on this. Our blend of industry-leading tech, outstanding service, and smart people provides customers with everything they need to succeed with AI. 

The Purpose

We are looking for a skilled Data Engineer to work as part of the Customer Integration team to make the Peak platform, 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 our platform 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 our platform.

Key Responsibilities:

  • Building data pipelines using Peak’s platform 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 our platform
  • 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.
  • 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 Python skills.
  • Good customer facing skills and ability to explain complex problems in a clear way. 

It would also be nice if you had:

  • 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
  • Ability to work with both technical and non technical teams
  • Cloud technologies and big data knowledge would be an advantage.

The Peak Platform

Our platform is a new Decision Intelligence system, putting AI in the hands of commercial leaders to drive great decision making. Leveraging serverless architecture, the platform is built for handling data at scale. Peak 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 our platform 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.

What we offer

  • Opportunity to make a large impact in a fast-growing company with global ambitions and influence Peak’s early success in entering the global market.
  • Share options / Equity in Peak - Peak is our company, Peak is your company
  • 25 days annual leave when you start (rising with each year of service up to 30), plus 8 days public holidays (3 flexible days for you to use when convenient)
  • A fantastic working environment with open communication channels, flat team structure and a truly collaborative style.
  • Flexible culture - Hybrid working model (Clubhouse/Home) and flexible hours with work life balance in mind.
  • Opportunity to work from anywhere in the world for 1 month of the year
  • Great maternity leave benefits (more details here).
  • Mental and physical health support through a variety of channels, e.g., Headspace and Spill app subscriptions, online yoga/boxing/HIIT classes, regular team days and social activities (online at the moment).
  • Cycle to work initiative and public transport season ticket loans.
  • Learn from like minded & talented team members across multiple disciplines.
  • Opportunity to develop in various areas that you may take an interest in as part of your personal development.

Inclusion and Diversity at Peak

Our mission at Peak is to help businesses do great things with AI - we are the innovators, the disruptors and the gamechangers. Diverse and inclusive companies will drive the fourth industrial revolution - and we will lead from the front. 

Over the next 5 years, we need more than words to create a stronger company and a fairer society, which is why Peak are committed to not only creating an amazing place to work, but a diverse and inclusive one too.

We want to create awesome teams and leadership, where everyone can bring their authentic selves to work and their ideas to solve the complex problems for the companies and the communities we serve.

About Peak

Peak is the pioneer of a new category of enterprise software, Decision Intelligence; the commercial application of AI to optimize business performance. Decision Intelligence allows companies to fulfill their potential, and grow revenues and profits. Peak’s platform is used by leading brands across industries such as retail, CPG, direct-to-consumer, construction and manufacturing. Peak’s customers include Nike, PepsiCo, KFC, PrettyLittleThing, Superdry and CJ Group. 

Peak has been named a Gartner ‘Cool Vendor’ for AI in retail, and was also named in The 10 Best Technology Companies to Work for 2021 with the Best Companies 3-star ‘World Class’ accreditation, which recognizes extraordinary levels of employee engagement. Peak is an Amazon Web Services (AWS) Retail Competency Partner and Machine Learning Competency Partner, and is ISO 27001 accredited.

More jobs at Peak.ai

Related jobs

Subscribe to our newsletter

Sign up here