Data Manager

Data Manager Role

• Opportunity for a Data Manager to join a scaling startup in the AI and Healthcare technology sector
• Salary up to £150k + Equity
• Paddington-based (4-5 days per week in-office)
• Tech environment: Python SQL Airflow dbt GCP AWS Data Architecture Kafka

If you wish to keep your CV / data private, feel free to WhatsApp your details / CV to me, Dan -

WHO WE ARE:

We're a rapidly growing AI-driven technology company transforming how service providers and clients manage care and data. Our platform unifies automation, analytics, and communication tools to create a smarter, data-led experience. With strong funding and a world-class leadership team, we're scaling fast - and we're now looking for an experienced Data Manager to lead the delivery of strategic data initiatives and help shape the company's data future.

WHAT YOU WILL BE DOING:

• Plan and manage data team projects, priorities, and delivery timelines.
• Oversee day-to-day operations of the data engineering team, ensuring performance and collaboration.
• Define and execute hiring strategies and identify future capability needs within the data function.
• Maintain data quality, reliability, and governance across all pipelines and environments.
• Visit enterprise clients to advise on data migration and integration strategies.
• Balance short-term project delivery with a long-term data architecture and infrastructure roadmap.
• Develop success metrics and monitor go-live outcomes for all major data initiatives.

DATA MANAGER - ESSENTIAL SKILLS:

• Proven experience as a Senior or Lead Data Engineer, Data Manager, or similar leadership role.
• Strong proficiency in Python (or Scala/Java) and SQL.
• Hands-on experience with data orchestration tools (Airflow, dbt, Dagster, or Prefect).
• Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift).
• Experience with streaming technologies (Kafka, Kinesis, or similar).
• Strong knowledge of data modelling, governance, and architecture best practices.
• Excellent leadership, communication, and stakeholder management skills.

NICE TO HAVE:

• Background in data management, engineering, or database administration.
• Experience with metadata management and master data management (MDM) tools.
• Understanding of data governance frameworks and compliance standards.
• Familiarity with machine learning pipelines or AI model integration.
• A proactive, detail-oriented approach and a passion for building scalable, reliable data systems.

TO BE CONSIDERED

Please either apply online or email me directly at .

By applying for this role, you are giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only.

KEY SKILLS:

Data Management Python SQL Airflow dbt GCP AWS Data Architecture Kafka Governance Data Quality Cloud Data Platforms