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