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Tech Lead Data & AI

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About the role

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.

On AWS, you're fluent across the 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 the 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.

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, spanning LLMs and SLMs, agentic automation, Human in the Loop and MLOps.

Data Architecture Design : You know when to use RAG (Retrieval-Augmented Generation), Serverless, DWH models, Data Mesh, Data Fabric, Medallion and Data Products.

Hands on mindset: Fluent in the language of data, whether SQL, Python, PySpark, R or Scala. Open formats including Parquet, Iceberg and JSON.

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

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

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