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About the Role

Red Badger is seeking a delivery-focused Tech Lead for its Data & AI practice. This role involves shaping complex technical solutions, leading data engineering teams to production, and partnering on pre-sales and proposals. You will collaborate with clients and consultants, working closely with Delivery Leads to deliver high-quality software. The ideal candidate thrives on solving complex problems, prioritizes customer value, and is comfortable consulting with external technology stakeholders.

Responsibilities

• Shape complex technical solutions from discovery phase.
• Lead a team of data engineers to build solutions through to production.
• Partner on pre-sales and proposals to add technical credibility.
• Lead teams to deliver high-quality software.
• Consult with technology stakeholders outside of your team.
• Spend approximately half of your time hands-on, pairing with data engineers and guiding design decisions.
• Support other functions (delivery, product, software engineering) and clients with technical strategy decisions.
• Provide support and line management to data engineers.
• Run and contribute to agile ceremonies, shaping and improving 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 peers in technical conversations.
• Advocate for lean development, building for current requirements.
• Pair with other team members, including designers.
• Own the relationship with the client’s technical stakeholders.
• Proactively engage with clients to shape and move projects forward.
• Provide updates on delivery progress and highlight potential technical blockers.
• Upskill and embed modern data practices in client teams.
• Manage and inspire teams, navigating enterprise-scale problems.
• Guide, mentor, and grow your team, embodying Red Badger culture.
• Build effective, high-trust teams where everyone is heard and valued.
• Translate complex data concepts into business value.
• Manage multi-vendor environments with a focus on long-term partnership.
• Embed as one team with clients rather than an outside supplier.
• Design systems with a focus on delivering value.
• Ensure extensible and scalable solutions meet evolving business and user needs.
• Champion quality assurance and performance tuning.
• Keep a pulse on industry standards and best practices.
• Build strong relationships with technology partners.
• Negotiate SLAs and SLOs with the business and supporting teams.
• Help shape and resource technical teams.
• Articulate commercial objectives into a technical strategy.
• Own the tech leadership on complex data projects, setting the technical vision.
• Manage technical stakeholders.
• Coach and line manage data engineers and individuals starting their line management journey.
• Be a public face of the company in media and at meetups/conferences.

Requirements

• Production-grade experience across AWS &/or Azure native services.
• Expert-level Databricks and/or Snowflake experience.
• Agile delivery mindset.
• Fluent across core AWS services (e.g., RDS, DynamoDB, S3, SageMaker Lakehouse, Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt, Lake Formation, Glue Data Catalog, SageMaker Catalog / DataZone, Bedrock, AgentCore, SageMaker AI).
• Fluent across core Azure services (e.g., SQL, PostgreSQL, Cosmos, Blob, Data Lake, OneLake, Fabric Warehouse, Fabric Data Factory, Data Factory CDC, Fabric/Synapse Spark, ADF, Synapse Pipelines, Fabric, dbt, Purview, Foundry, Agent Service, ML).
• Experience building Data Products where every pipeline and dataset is discoverable, addressable, and secure by design.
• Knowledge of 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.
• Understanding of how AI is built and deployed in modern data platforms and cloud-native services, spanning LLMs and SLMs, agentic automation, Human in the Loop and MLOps.
• Knowledge of data architecture patterns (e.g., RAG, Serverless, DWH models, Data Mesh, Data Fabric, Medallion, Data Products).
• Fluent in data languages such as SQL, Python, PySpark, R or Scala.
• Experience with open data formats including Parquet, Iceberg and JSON.
• Experience with quality assurance and performance tuning.
• Comfortable with ambiguity and solving complex problems collaboratively.
• Strong expertise in craft with a willingness to keep learning.
• Clear communication skills.
• Ability to build trust quickly with clients, data engineering leaders, and data/software engineers.
• Pragmatic, adaptable, outcome-focused, and low-ego in multidisciplinary teams.
• People-first attitude, helping others grow and ensuring people are heard, valued, and set up to thrive.

Skills

• Data & AI
• AWS
• Azure
• Databricks
• Snowflake
• Agile
• Data Engineering
• SQL
• Python
• PySpark
• R
• Scala
• Parquet
• Iceberg
• JSON
• LLMs
• SLMs
• MLOps
• RAG
• Serverless
• DWH models
• Data Mesh
• Data Fabric
• Medallion
• Data Products
• Retrieval-Augmented Generation
• SageMaker
• Bedrock
• AgentCore
• Glue
• EMR
• Athena
• CDC/DMS
• DataBrew
• Kinesis
• dbt
• Lake Formation
• Glue Data Catalog
• SageMaker Catalog / DataZone
• Fabric Data Factory
• Data Factory CDC
• Fabric/Synapse Spark
• ADF
• Synapse Pipelines
• Fabric
• Purview
• Foundry
• Agent Service
• ML
• Human in the Loop
• Quality Assurance
• Performance Tuning
• Stakeholder Management
• Mentoring
• Team Leadership
• Client Relationship Management
• Technical Strategy
• Commercial Acumen
• SLA Negotiation
• SLO Negotiation

Location

• Leeds
• National remit

Work Type

• Full-time
• Hybrid

Experience Level

• Tech Lead
• Senior

Benefits

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

About the Company

• Red Badger is a tech and product consultancy building enterprise software products for blue-chip companies, multinationals, and PLCs.
• The team is over 120 strong and has been established for over 15 years.
• The company is proud of its people, fostering a supportive and learning environment.
• Red Badger is a diverse group with 22 nationalities and 17 languages spoken.
• Headquartered in London, with offices in Leeds and Cape Town.

Equal Opportunity

• Red Badger is committed to creating a diverse and inclusive environment.
• Red Badger 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.
• 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.