Data Practice Lead

Data Practice Lead

Full-Time 43200 - 72000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the Development Practice in Data, BI, and Enterprise Systems while mentoring tech leads.
  • Company: Join River Island, a beloved brand with a bright future and a diverse team.
  • Benefits: Enjoy a 50% staff discount, flexible working, and a generous bonus scheme.
  • Why this job: Shape data-driven decision-making and integrate cutting-edge tech across the business.
  • Qualifications: Experience in data engineering or BI, with hands-on skills in SQL or Python.
  • Other info: Dynamic environment with excellent career progression opportunities.

The predicted salary is between 43200 - 72000 ÂŁ per year.

We’re looking for a Development Practice Lead who can move seamlessly between architecture discussions, hands-on technical guidance, and coaching senior engineers.

Department: Architecture & Engineering

Location: Remote

What you’ll do:

  • Lead the Development Practice on matters of Data, BI, and Enterprise Systems; driving ambition and suggesting logic-backed additions to roadmaps.
  • Coach and mentor four tech leads while staying hands-on with architecture reviews and design decisions.
  • Define and enforce technical standards across our data stack: Snowflake, Airflow, AWS, Business Objects, and Oracle.
  • Collaborate with solution architects to evolve River Island’s enterprise data and integration strategy.
  • Review solution proposals and spot anti-patterns in data flow, orchestration, and schema design.
  • Shape best practice around observability (OpenTelemetry), metadata management, and data mesh principles.

Tech landscape you’ll be dealing with:

  • Databases: Snowflake (micro-partitioning, clustering, schema design, cost optimisation); Oracle E-Business Suite, ODBMS and SQL optimisation.
  • Visualisation tools: BusinessObjects and semantic-layer modelling, PowerBI.
  • Airflow: DAG orchestration, retries/backfills, sensors vs operators.
  • AWS: cross-account IAM, VPC design, ECS/Lambda trade-offs.
  • Python, SQL, Terraform, and event-driven microservices.
  • AI-related integration (vector DBs, embeddings pipelines, OpenTelemetry).

What good looks like:

  • Led a data engineering or BI function and still enjoy getting your hands dirty in SQL or Python.
  • Successfully – or not – put PoCs together to promote an idea.
  • Designed or reviewed architecture diagrams for distributed data systems.
  • Coached technical leads or principal engineers in delivery and design quality.
  • Balanced pragmatic delivery with clean architecture and performance-minded decisions.
  • You’re opinionated but curious, architecture-literate, and allergic to buzzword managers.

What we’re not looking for:

  • Project or delivery managers with no hands-on technical depth.
  • “Heads of BI” who haven’t authored a query in 10 years.
  • People who can’t explain why clustering keys matter in Snowflake or how Airflow handles retries.

Why join us:

RI Tech is in the middle of modernising. We’ve built data vaults, now we’re simplifying, decoupling, and rebuilding around data-driven decision-making and composable architecture. You’ll help shape how we integrate data, analytics, and AI across the business - from Oracle to AWS to Snowflake.

About Us:

We’re a much-loved brand with an exciting future. Our Islanders are a diverse bunch of bright, talented people who love working together – and are proud of the work they do. Progression here can take you in all kinds of directions. This is what a career at River Island is like. And this is where yours starts. This role is based at our Head Office in West London.

What we can offer you:

  • Generous 50% staff discount and a staff shop on site.
  • Discounts, financial advice, wellbeing solutions and more through the Retail Trust.
  • Free onsite gym, subsidised restaurant & cafĂ©, and various social events.
  • Enhanced family support including maternity, paternity, adoption & fertility treatment; involvement with Retail Trust.
  • Flexible working is a given, on top of payday and summer early finish Fridays.
  • Give as you earn scheme with matched funding.
  • Support with upskilling through on-the-job training and a succession plan.
  • Generous bonus scheme & private pension plan.
  • Healthcare option through AXA.
  • 25 days paid holiday, with option to purchase additional days.

Keeping You Safe:

At River Island we are committed to the safeguarding of all of our employees regardless of age or job role. We will fulfil our obligation under the Prevent duty which seeks to stop extremism and extremist views from materialising in our business. We promote and encourage the belief in British Values – including democracy, the rule of law, individual liberty and mutual respect and tolerance of different faiths and beliefs. Our Island is made up of a diverse community, where we all belong and feel part of something bigger. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles unless operational requirements prevent otherwise.

Data Practice Lead employer: River Island

River Island is an exceptional employer that fosters a collaborative and innovative work culture, where employees are encouraged to grow and develop their skills. With a focus on data-driven decision-making and a commitment to employee wellbeing, we offer generous benefits including a 50% staff discount, flexible working arrangements, and extensive support for personal and professional development. Join us in our West London office and be part of a diverse team that values your contributions and supports your career progression.
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Contact Detail:

River Island Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Practice Lead

✨Tip Number 1

Network like a pro! Reach out to current employees at River Island on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss Snowflake, Airflow, and AWS. We want to see your hands-on experience shine!

✨Tip Number 3

Show off your coaching skills! Be ready to share examples of how you've mentored others in tech. We love candidates who can lead and inspire their teams.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining our team.

We think you need these skills to ace Data Practice Lead

Data Engineering
Business Intelligence (BI)
Architecture Design
Technical Coaching
Snowflake
Airflow
AWS
Oracle E-Business Suite
SQL Optimisation
Python
Terraform
Event-Driven Microservices
OpenTelemetry
Metadata Management
Data Mesh Principles

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Data Practice Lead role. Highlight your experience with data architecture, BI, and any hands-on technical work you've done. We want to see how your skills align with what we're looking for!

Show Off Your Technical Skills: Don’t shy away from showcasing your technical prowess! Mention specific tools and technologies you’ve worked with, like Snowflake, Airflow, or AWS. We love seeing candidates who can get their hands dirty with SQL or Python.

Be Authentic: Let your personality shine through in your application. We’re not just looking for buzzwords; we want to know who you are and what makes you tick. Share your thoughts on data practices and how you approach problem-solving.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at River Island!

How to prepare for a job interview at River Island

✨Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, like Snowflake, Airflow, and AWS. Brush up on key concepts such as micro-partitioning and DAG orchestration, so you can confidently discuss how they apply to real-world scenarios.

✨Prepare for Hands-On Questions

Expect technical questions that require you to demonstrate your knowledge of SQL or Python. Practise writing queries or solving problems on the spot, as this role demands a hands-on approach. Being able to explain your thought process will impress the interviewers.

✨Showcase Your Coaching Skills

Since the role involves mentoring tech leads, be ready to share examples of how you've successfully coached others in the past. Highlight specific situations where your guidance led to improved performance or innovative solutions.

✨Discuss Architectural Principles

Be prepared to talk about architectural best practices and how you’ve applied them in previous roles. Discuss your experience with data flow, schema design, and observability principles, as these are crucial for the position. Show that you can balance clean architecture with pragmatic delivery.

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