• Serve as a coordination layer between sales and client-facing teams and the Audience Solutions data engineering team, ensuring segment requests are submitted with complete information and tracked through to delivery • Own intake documentation for incoming audience requests, gathering segment specifications, client deadlines, distribution targets, and data methodology requirements • Manage the AS project queue: track ticket status, surface blockers, and communicate timeline updates to commercial stakeholders • Support client-facing deliverables including segment availability confirmations, match test results, and audience performance summaries • Assist in maintaining the Audience Solutions segment catalog — keeping naming conventions, CPM tiers, and vertical classifications current and accurate • Support leadership on QBR prep, client reporting, and prioritization reviews • Serve as a first point of contact for inbound AS requests from internal sales teams

**👀 The Role** **Title:** Senior Data Engineer **Team:** Data **Location:** Remote UK **Salary bands:** £85,000 - £100,000 As Senior Data Engineer, you’ll help scale the data platform that powers decision making across Midnite. You’ll work on core platform improvements, reliable data pipelines, modern data tooling, and lower-latency analytics foundations that support the next stage of company growth. This is a high-ownership role for someone who brings strong engineering fundamentals and wants to shape how data engineering is done as the team scales. **You will:** - Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS. - Own end to end data engineering projects from ingestion through to analytics enablement. - Develop and optimise reliable SQL based data models. - Help build a stronger staging and testing environment for data changes before production. - Improve monitoring, alerting, and data quality across key pipelines. - Contribute to CDC and lower latency data movement initiatives. - Work closely with Product, Analytics, Engineering, and business stakeholders. - Participate in code reviews and help raise engineering standards across the team. - Pair with other engineers where needed and support more junior team members as the team grows.

Role Description Join a vibrant team at Moore Haven Yacht Club, where you will play a crucial role in maintaining accurate data records and supporting our operational efficiency. This position is ideal for detail-oriented individuals who thrive in a dynamic environment. - Enter and update data in our database with accuracy and efficiency. - Review and verify data for completeness and correctness. - Assist in generating reports and summaries as required. - Maintain confidentiality of sensitive information at all times. - Collaborate with team members to streamline data entry processes. Qualifications - Proven experience in data entry or a similar role. - Strong attention to detail and accuracy. - Proficient in using data entry software and Microsoft Office Suite. - Excellent organisational and time-management skills. - Ability to work independently as well as part of a team. Requirements - Familiarity with database management systems. - Experience in a maritime or hospitality environment. - Basic knowledge of data analysis tools.

Role Description We are seeking an experienced Data Platform Architect to design and implement scalable, high-performance data platforms that support enterprise analytics, machine learning, and reporting initiatives. This role is critical in building the data foundation that enables data-driven decision-making across the organization. The ideal candidate will bring deep expertise in modern data architectures, including lakehouse models and cloud-based ecosystems, along with the ability to align technical solutions with business objectives. Responsibilities - Design and implement enterprise-grade data platforms for large-scale analytics and AI use cases - Develop and optimize data pipelines for ingestion, transformation, and storage (ETL/ELT) - Evaluate and recommend data technologies based on business and technical requirements - Define and implement data governance, security, and compliance frameworks - Collaborate with cross-functional engineering teams to integrate data systems seamlessly - Optimize data infrastructure for performance, scalability, and reliability - Enable advanced analytics and machine learning workloads - Provide technical leadership, guidance, and mentorship to data engineering teams Qualifications - Extensive experience designing and implementing modern data architectures - Strong knowledge of cloud data platforms (AWS, Azure, or GCP) - Hands-on experience with ETL/ELT tools and data pipeline development - Solid understanding of data governance, security, and compliance practices - Experience working in large-scale enterprise data environments - Strong expertise in database technologies and data modeling - Ability to translate complex business requirements into scalable technical solutions Must-Have Skills - Proven experience designing enterprise-scale data platforms supporting AI/ML workloads - Experience integrating legacy systems with modern cloud data platforms - Strong problem-solving, architecture, and decision-making skills - Excellent communication and collaboration abilities Preferred Qualifications - Experience with lakehouse architectures (e.g., Delta Lake, Iceberg, or similar) - Familiarity with big data processing frameworks (e.g., Spark) - Knowledge of data observability and monitoring tools - Experience with MLOps and data platform optimization for AI use cases Work Environment - Remote / Hybrid flexibility - Collaborative, fast-paced, and innovation-driven environment For more details reach at resumes@navitassols.com