Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Red Badger is looking for a DataBricks Engineer to join our Data & AI practice. This is a delivery-focused role where you will work directly with clients and Red Badger consultants to shape complex technical solutions and lead a team of data engineers to build them through to production. You will also partner on pre-sales and proposals to add technical credibility and deepen client partnerships.

Responsibilities

• Lead a team of data engineers to build solutions through to production.
• Work closely with the Director, Data & AI, and partner on pre-sales and proposals.
• Shape complex technical solutions as an output from discovery phase.
• 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.
• Support other functions (delivery, product, software engineering) and clients with decisions impacted by the technical strategy of the project.
• Provide support and line management to data engineers on your team.
• 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 peers in technical conversations.
• Be an advocate for lean development, building for what is required now.
• Pair with other members of the team, including designers.
• Own the relationship with the client’s technical stakeholders.
• Proactively engage with clients to shape and move the project forward, including giving updates on delivery progress and highlighting potential technical blockers.
• Upskill and embed modern data practices in client teams where necessary.
• Manage and inspire teams, navigating enterprise-scale problems and turning them into opportunities for clients.
• Guide, mentor and grow your team, bringing the Red Badger culture and building effective, high-trust teams.
• Translate complex data concepts into business value, managing multi-vendor environments with a focus on long-term partnership.
• Design systems with a focus on delivering value, ensuring extensible and scalable solutions meet evolving business and user needs.
• Champion quality assurance and performance tuning so data solutions are robust, reliable and respected.
• Keep a pulse on industry standards and best practice.
• Build strong relationships with technology partners to deliver the best outcomes for clients.
• 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 and managing technical stakeholders.
• Coach and line manage data engineers and data delivery individuals starting their line management journey.
• Be a part of the public face of the company in media and at meetups, conferences, etc.

Requirements

• At least 2 years of commercial Databricks experience (current).
• Strong AWS Skills.
• Ideally have worked on a large scale Databricks migration project previously.
• Strong understanding of Medallion Architecture.
• Hands on experience over theoretical.
• Deep, production-grade experience across AWS &/or Azure native services, with expert-level Databricks and/or Snowflake and an Agile delivery mindset.
• Fluent across core AWS services.
• Fluent across core Azure services.
• Build Data Products where every pipeline and dataset is discoverable, addressable and secure by design.
• 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.
• 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.
• Know when to use RAG (Retrieval-Augmented Generation), Serverless, DWH models, Data Mesh, Data Fabric, Medallion and Data Products.
• Fluent in SQL, Python, PySpark, R or Scala.
• Familiar with open formats including Parquet, Iceberg and JSON.
• 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.

Skills

• Databricks
• AWS
• Medallion Architecture
• Snowflake
• Agile delivery
• RDS
• DynamoDB
• S3
• SageMaker Lakehouse
• Glue
• EMR
• Athena
• CDC/DMS
• DataBrew
• Kinesis
• dbt
• Lake Formation
• Glue Data Catalog
• SageMaker Catalog / DataZone
• Bedrock (including AgentCore)
• SageMaker AI
• SQL
• PostgreSQL
• Cosmos
• Blob
• Data Lake
• OneLake
• Fabric Warehouse
• Fabric Data Factory
• Data Factory CDC
• Fabric/Synapse Spark
• ADF
• Synapse Pipelines
• Fabric
• Purview
• Foundry
• Agent Service
• ML
• Python
• PySpark
• R
• Scala
• Parquet
• Iceberg
• JSON

Location

• Central London

Work Type

• Onsite (2 days a week)
• Full-time

Experience Level

• 2 years commercial Databricks experience
• Senior

About the Company

• Red Badger is a tech and product consultancy, building enterprise software products for blue chip companies, multinationals and PLC’s.
• The team has been around for 15+ years and is over 120 strong.
• The company supports and learns from each other.
• They work hard but have fun doing it.
• It is a diverse group made up of 22 different nationalities, speaking 17 different languages.
• Headquartered in London, they also have offices in Leeds and Cape Town.