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Red Badger

Tech Lead (Data & AI)

Leeds
Posted about 16 hours ago
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Tech Lead - Data & AI - Leeds

About Red Badger

We’re a tech and product consultancy, building enterprise software products for blue chip companies, multinationals and PLC’s. The best thing about Red Badger is; of course; the team. We’ve been around for 15+ years now and we are over 120 strong. We are really proud of our people; we support and learn a lot from each other; we work really hard but have fun doing it. We are a diverse group made up of 22 different nationalities, speaking 17 different languages. Headquartered in London we also have offices in Leeds and Cape Town.

The Role

Red Badger is looking for a Tech Lead to join our Data & AI practice. This is a delivery-focused role: you'll work directly with clients and Red Badger consultants, from all the cross functional disciplines, to shape complex technical solutions as an output from discovery phase, and then lead a team of data engineers to build the solution through to production. Based in Leeds with a national remit, you'll work closely with the Director, Data & AI, and partner on pre-sales and proposals to add technical credibility and deepen our client partnerships.

As a Tech Lead, you will work with one of our amazing Delivery Leads. Together, you will lead your team to deliver high quality software. The work we do for our clients involves dealing with the core complexities of their business and the technology we employ varies from project to project.

You love solving complex problems, and customer value is your north star. You are comfortable consulting with technology stakeholders outside of your team. You are a technology polyglot, and an evangelist for agile ways of working.

Day to day, you will spend roughly half of your time hands on, pairing with data engineers on the team, and helping them pick the right design to solve the problem. In the other half, you’ll be supporting the other functions (delivery, product, software engineering) and our clients with decisions impacted by the technical strategy of the project and providing support and line management to data engineers on your team.

Key Responsibilities

Discipline Expertise and Leadership

  • Technology breadth: Deep, production-grade experience across AWS &/or Azure native services, with expert-level Databricks and/or Snowflake and an Agile delivery mindset. Using the right tool for the right job.
  • On AWS, you're fluent across core services, for example:
    • Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse,
    • Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt
    • Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog / DataZone
    • AI: Bedrock (including AgentCore) and SageMaker AI
  • On Azure, you’re fluent across core services, for example:
    • Storage & lakehouse: SQL, PostgreSQL, Cosmos, Blob, Data Lake, OneLake, Fabric Warehouse
    • Processing & ETL: Fabric Data Factory, Data Factory CDC, Fabric/Synapse Spark, ADF, Synapse Pipelines, Fabric, dbt
    • Data management & metadata: Purview
    • AI: Foundry, (including Agent Service), ML
  • Data Product mentality: You build Data Products where every pipeline and dataset is discoverable, addressable and secure by design, focussing on outcomes.
  • Data capabilities: You know the full data lifecycle, from discovery, storage, pipelines, ETL and streaming to data quality, governance, metadata management and cataloguing, through to advanced analytics and decision-making.
  • AI: You understand how AI is built and deployed in modern data platforms (Databricks, Snowflake) and cloud-native services like Amazon Bedrock, with enough depth to guide teams and advise clients on outcomes (products), leveraging appropriate LLMs and SLMs, processes & safeguarding such as Human in the Loop.
  • Data Architecture Design: You know when and how to use RAG (Retrieval-Augmented Generation), Serverless, Data Mesh, Data Fabric & Medallion architectures.
  • Hands on mindset: Fluent in the language of data, whether SQL, Python, PySpark, R or Scala. Open formats including Parquet, Iceberg and JSON.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Agile Ways of Working

  • Run and contribute to agile ceremonies, helping to shape and improve the agile process
  • Work with the project’s delivery manager and product owner to lead the team in delivering high quality digital products
  • Lead and support your peers in technical conversations
  • Be an advocate for lean development, building for what is required now
  • Pairing with other members of the team, including designers

Consulting with Clients

  • Own the relationship with the client’s technical stakeholders
  • Proactively engage with clients to shape and move the project forward, including giving updates on the delivery progress and highlighting potential technical blockers
  • Upskilling and embedding modern data practices in client teams where necessary

Leadership & Influence

  • Data Leadership: A proven track record of managing and inspiring teams, navigating enterprise-scale problems and turning them into opportunities for clients.
  • People-first leadership: You guide, mentor and grow your team, bring the Red Badger culture with you, and build effective, high-trust teams where everyone is heard and valued.
  • Stakeholder Artistry: You are a master of client-facing delivery. You can translate complex data concepts into business value, managing multi-vendor environments with a focus on long-term partnership. Lanyards off, you embed as one team rather than an outside supplier.
  • Designing for People and Purpose: Your expertise goes beyond just building scalable architectures; you design systems with a focus on delivering value. You ensure that your extensible and scalable solutions are implemented because they consistently meet the evolving needs of both the business and its users.

Your experience

It’d be great if you

  • Quality Advocate: You take pride in the integrity of your work, championing quality assurance and performance tuning so the data solutions we build are robust, reliable and respected.
  • Industry Stewardship: A lifelong learner who keeps a pulse on industry standards and best practice.
  • Partnership Focus: You build strong relationships with technology partners, established or new, to deliver the best outcomes for clients.
  • You care deeply about high-quality work that delivers real value
  • You're comfortable with ambiguity and solving complex problems collaboratively
  • You bring strong expertise in your craft, alongside a willingness to keep learning
  • You communicate clearly and build trust fast with clients, data engineering leaders and data and software engineers
  • You're pragmatic, adaptable, outcome-focused and low-ego in multidisciplinary teams
  • You lead with a people-first attitude, helping others grow and making sure people are heard, valued and set up to thrive

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It’d be amazing if you can also

  • Negotiate SLAs and SLOs with the business and supporting teams
  • Help shaping and resourcing technical teams
  • Articulate commercial objectives into a technical strategy
  • Show a track record of owning the tech leadership on complex data projects, setting the technical vision for the project and managing technical stakeholders
  • Coach and line manage data engineers and data delivery individuals who are starting their line management journey
  • Be a part of the public face of the company in media and at meetups, conferences, etc.

What we offer

We make sure our team is well looked after with generous salaries and a great benefits package which includes:

  • Annual £2,000 training budget
  • Enhanced pension with employer contribution of up to 5% of your salary
  • Group Life Insurance
  • Income Replacement Benefit
  • Critical Illness Cover
  • Private Medical Insurance
  • Your choice of hardware and mobile phone
  • £1,000 home-office set up budget and contribution to home broadband
  • Matched (pre-tax) charity GAYE donations
  • Cycle to work
  • Enhanced parental leave

Red Badger Values:

  • People people
    • We respect and care for each other, giving us the space to be our true selves.
  • Find a way
    • We’re comfortable with uncertainty, and want to take ownership for outcomes, which we are proactive in delivering.
  • Always learning
    • We’re curious. It’s how we learn and grow as individuals, continuously testing and improving what we do, and how we do it.
  • Open & Fair
    • We build trust by telling things as they are, being open, and seeking to achieve fair and equitable outcomes.
  • Collaborative
    • We are united by our desire to get to the best ideas. We are generous with our knowledge, actively listen to each other, and are open minded.

Diversity & Inclusion:

Red Badger is committed to creating a diverse and inclusive environment, and is proud to be an equal opportunity employer. We hire, employ, train, promote and compensate regardless of gender, gender identity, race, disability, sexual orientation, age, creed and colour. We are fully focused on equality, and it is our fundamental belief that the fascinating characteristics that make us all different enable us to continue to do amazing work for our clients.

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Skills

AWS
Azure
Databricks
Snowflake
Python
SQL
PySpark
Agile Methodology
Data Architecture
LLMs
RAG
Stakeholder Management
Line Management
Data Engineering
Cloud Native Services
Data Product Design

Location

Leeds, England, United Kingdom

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