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Staff Data Engineer

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Location
United Kingdom
Slice

Job Description

UK Remote or Belfast

Serial tech entrepreneur Ilir Sela started Slice in 2010 with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over 18,000 restaurants (that’s nearly triple Domino’s U.S. network!) with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfil this valuable mission. That’s where you come in.

The Challenge to Solve

Provide Slice with up to date data to grow the business and to empower independent pizzeria owners to make the best data driven decisions through insights that ensure future success.

The Role

You will be responsible for leading data modelling and dataset development across the team. You’ll be at the forefront of our data strategy. Partnering closely with business and product teams, to fuel data-driven decisions throughout the company. Your leadership will guide our data architecture expansion, ensuring smooth data delivery and maintaining top-notch data quality. Drawing on your expertise, you’ll steer our tech choices and keep us at the cutting edge of the field. You’ll get to code daily and provide your insights into best practices to the rest of the team.

The Team

You’ll work with a team of skilled data engineers daily, providing your expertise to their reviews, as well as working on your own exciting projects with teams across the business. You’ll have a high degree of autonomy and the chance to impact many areas of the business. You will optimise data flow and collection for cross-functional teams and support software developers, business intelligence, and data scientists on data initiatives using this to help to support product launches and supporting Marketing efforts to grow the business. This role reports to the Director of Data Engineering.

The Winning RecipeWe’re looking for creative, entrepreneurial engineers who are excited to build world-class products for small business counters. These are the core competencies this role calls for:

  • 6+ years experience in Data Engineering roles
  • Strong track record of designing and implementing modern cloud data processing architectures using programming languages such as Java, Scala, or Python and technologies like Spark
  • Expert-level SQL skills
  • Extensive experience in data modelling and design, building out the right structures to deliver for various business and product domains
  • Strong analytical abilities and a history of using data to identify opportunities for improvement and where data can help drive the business towards its goals
  • Experience with message queuing, stream processing using frameworks such as Flink or KStreams and highly scalable big data data stores, as well as storage and query pattern design with NoSQL stores
  • Proven leadership skills, with a track record of successfully leading complex engineering projects and mentoring junior engineers, as well as working with cross-functional teams and external stakeholders in a dynamic environment
  • Familiarity with serverless technologies and the ability to design and implement scalable and cost-effective data processing architectures

The ExtrasWorking at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights:

  • Access to medical, dental, and vision plans
  • Flexible working hours
  • Generous time off policies
  • Annual conference attendance and training/development budget
  • Market leading maternity and paternity schemes
  • Discounts for local pizzerias (of course)

The Hiring Process

Here’s what we expect the hiring process for this role to be, should all go well with your candidacy. This entire process is expected to take 1-3 weeks to complete and you’d be expected to start on a specific date.

  • 30 minute introductory meeting
  • 30 minute hiring manager meeting
  • 60 minute pairing interview
  • 60 minute technical interview
  • 30 minute CTO interview
  • Offer!

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, colour, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

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When you apply for a job on this site, the personal data contained in your application will be collected by Slice. Slice is keeping your data safe and secure. Once we have received your personal data, we put in place reasonable and appropriate measures and controls to prevent any accidental or unlawful destruction, loss, alteration, or unauthorised access. If selected, we will process your personal data for hiring /employment processes, as well as our legal obligations. If you are not selected for the job position and you have given consent on the question below (by selecting "Give consent") we will store and process your personal data and submitted documents (CV) to consider eligibility for employment up to 365 days (one year). You have the right to withdraw your previously given consent for storing your personal data and CV in the Slice database considering eligibility for employment for a year. You have the right to withdraw your consent at any time.For additional information and / or exercise of your rights to the protection of personal data, you can contact our Data Protection Officer, e-mail: [email protected]

Advice from our career coach

To succeed in this role at Slice, you'll need to showcase your expertise in data engineering and leadership. Here are some key tips to help you stand out as a candidate:

  • Demonstrate a minimum of 6 years of experience in Data Engineering roles.
  • Showcase your strong track record in designing and implementing modern cloud data processing architectures using languages like Java, Scala, or Python.
  • Highlight your expert-level SQL skills and experience in data modelling and design.
  • Showcase your strong analytical abilities and experience in using data to drive business decisions.
  • Emphasize your experience with message queuing, stream processing frameworks, big data stores, and NoSQL stores.
  • Showcase your leadership skills and experience leading complex engineering projects.
  • Demonstrate your familiarity with serverless technologies and experience in designing scalable and cost-effective data processing architectures.

Remember to also showcase your ability to work autonomously, collaborate with cross-functional teams, and your passion for using data to drive business success. Good luck!

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About the job

May 26, 2024

Full-time

  1. GB United Kingdom
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