National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

Appriss Retail
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer - Snowflake, dbt, AWS, Python - Remote

Data Engineer - Snowflake, dbt, AWS, Python - Remote

About Appriss Retail

Appriss Retail provides real-time decisions and active risk monitoring to enable our customers to maximize profitability while managing risk. Our solutions are continually adapting to changing market conditions.

We bring 20+ years of retail data science expertise and experience. We serve a global base of leading commerce partners, representing 1/3 of all US omnichannel retail sales activity across 150,000 retail locations across specialty, apparel, department store, hard goods, big box, grocery, pharmacy, and hospitality businesses in 45 countries on six continents.

The company provides compelling, relevant, and profitable collective intelligence to operations, finance, marketing, and loss prevention. Appriss Retail's performance-improvement solutions yield measurable results with significant return on investment.


About the role

Data Engineers at Appriss Retail are part of a team that followsDataOpsbest practices and owns the standardized data assets and the processes around it that support our products and enable our customers and internal teams.

The Data Engineer will develop and code software programs, algorithms, and automated processes to cleanse,integrate, and evaluate large datasets from multiple disparate sources.They will analyze and evaluatethe usability of data provided by customers and interact with product and service teams to

identifyquestions and issues for data quality.They will alsodevelop, and program methods, processes, andsystems toconsolidateand analyze diverse data sources to generate actionable insights.

What you"ll do

  • Developandprogram methods and processes toconsolidate, normalize, and analyze data.

  • Buildrobust and massively scalabledata pipelines to map data into our data warehouse that powers our various products.

  • Understand the data and implement quality checks.

  • Monitor and improvetoolset/libraries.

  • Work with large datasets.

  • Present results from these analyses to managementandcommunicateissues to and fromclients, and coordinate resolution of those issues.

  • Monitor the system's business performance,identifyareas for improvement andassistin the identification and tracking of issues.

  • Interacts closelywith Support and Engineering teams to deployandimprove the products.

  • Participate in on-call rotation.

Qualifications

  • Bachelor's degree in an analytical related field such as Statistics or Computer Science orat least 2+ yearsequivalent professional experience.

  • Experience with SQL(2+ years)

  • ProficiencywithPython(2+ years)

  • Ability to work with APIs, structured and unstructured data.

  • Experience processing and analyzing large data sets.

  • Experience with data warehouse solutions (VMWare Greenplum or Snowflake).

  • Good verbal and written communication skills.

  • Ability and willingness to work with a team.

  • Proven ability to work on time-sensitive deliverables.


Appriss does not hold a sponsorship licence, and therefore will not be able to employ a candidate who requires a certificate of sponsorship in order to be eligible to work in the UK.



PGmZ2lCADKGKOc4VYHVkxM

PI250264325

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.