Role Description We are looking for a Director, Data Technology to serve as the strategic and technical anchor for the data and measurement ecosystem behind our client work. This is a builder's leadership role, and you are equal parts data engineering leader and marketing technology expert. You understand how modern data platforms are architected, governed, and scaled; how semantic and analytical layers enable trusted decision-making; and how the infrastructure, automation, and operational processes underneath them run reliably at scale. You are equally fluent in marketing technology and measurement strategy. You understand how customer interactions become measurable signals, how consent and privacy requirements shape data collection, and how those signals flow through an organization's technology ecosystem to support activation, optimization, and business intelligence. You'll own the full signal-to-insight lifecycle, from data capture and collection, through identity, consent, and measurement frameworks, into data pipelines, modeling, governance, and ultimately the reporting and analytical experiences that drive business decisions. This role is accountable for ensuring every layer of the ecosystem works together as a cohesive, scalable, and trustworthy platform. At DEPT®, we take an engineering-first approach to solving business problems with data. As a senior technical leader within the practice, you'll define the strategic direction for data and measurement capabilities while remaining close enough to the work to guide architecture, challenge assumptions, and drive delivery with credibility. Qualifications - 8–10+ years in data engineering, analytics, or marketing technology, including senior leadership of technical work and teams. - A track record as both strategist and practitioner who stays hands-on. - Deep, hands-on experience across Snowflake and BigQuery- modeling, performance, governance, and cost, and strong SQL. - Demonstrated Looker / LookML expertise as a primary visualization and semantic layer. - Strong Python skills, with proven ETL/ELT design and hands-on experience across AWS and Google Cloud Platform. - Subject-matter-level command of the marketing data stack, tag management, CDPs, server-side tracking, CAPI / Enhanced Conversions / Offline Conversion Import, Consent Mode, with the depth to set strategy, direct specialists, and speak with authority in front of clients. - Working command of privacy and consent regulation (CCPA/CPRA, GDPR) and its practical impact on tracking and measurement. - Strong communication skills across executive, client, and engineering audiences. - Agency experience supporting a major global brand is a plus. - Hands-on familiarity with tools like Matillion, dbt, Fivetran, or Airflow is a plus. - Experience with server-side GTM, identity/clean-room work (e.g., LiveRamp), or mobile measurement (AppsFlyer / Adjust / Branch) is a plus. Requirements - Own the multi-quarter data technology roadmap across both BI and MarTech, aligned to the client's business goals. - Act as the senior technical voice in the relationship, translating business questions into measurable data problems and technical realities into language executives can act on. - Serve as the final word on architecture decisions, measurement methodology, and data-quality calls across the practice. - Balance near-term delivery with the long-term discipline of a maintainable, well-governed ecosystem. - Architect the BI stack end to end, covering ingestion, transformation, modeling, and activation, across Snowflake and BigQuery. - Write the Python, design the models, stand up the AWS/GCP/ETL plumbing, and review the team's code. - Own Looker / LookML as the governed semantic layer and primary visualization surface, driving toward trusted self-serve analytics. - Set the practices that keep a warehouse sound: modeling conventions, access governance, cost management, and pipeline observability. - Be the technical authority on the marketing data stack, able to diagnose a consent, tagging, or measurement issue live and direct the web and mobile specialists. - Command the major media platforms and their supporting technology: Google Ads, Meta, SA360, DV360, CM360, alongside tag management (GTM, Tealium), CDPs, and server-side tracking. - Set the strategy for modern signal capture, spanning Consent Mode v2, server-side GTM, Conversions API (CAPI), Enhanced Conversions, Offline Conversion Import, and Customer Match, as well as mobile attribution (MMPs, SDKs, SKAdNetwork / Aggregated Event Measurement). - Own the compliance posture for data tracking, covering CCPA/CPRA, GDPR, and consent frameworks, ensuring measurement holds up in a signal-loss, cookie-deprecation environment built on durable first-party data. - Set the technical standard and elevate the specialists around you. - Represent the practice's data capability to senior client stakeholders. - Serve as the definitive internal and external escalation point for technical, prioritization, and delivery challenges. Benefits - Healthcare, Dental, and Vision coverage - 401k plan, plus matching - PTO - Paid Company Holidays - Parental Leave

Role Description We are looking for a Principal, Data Technology to serve as a key technical anchor for the data and measurement ecosystem behind our client work. This is a builder's role, and you are equal parts data engineering expert and marketing technology specialist. You understand how modern platforms are architected, governed, and scaled; how semantic and analytical layers enable trusted decision-making; and how the underlying infrastructure, automation, and operational processes run reliably at scale. You are equally fluent in marketing technology and measurement strategy. You understand how customer interactions become measurable signals, how consent and privacy requirements shape data collection, and how those signals flow through an organization's technology ecosystem to support activation, optimization, and business intelligence. You'll support the full signal-to-insight lifecycle, from data capture and collection, through identity, consent, and measurement frameworks, into data pipelines, modeling, governance, and ultimately the reporting and analytical experiences that drive business decisions. This role is responsible for ensuring every layer of the ecosystem works together as a cohesive, scalable, and trustworthy platform. At DEPT®, we take an engineering-first approach to solving business problems with data. As a principal technical leader within the practice, you'll guide the direction for data and measurement capabilities while remaining hands-on to define architecture, challenge assumptions, and drive delivery with credibility. Qualifications - 5–7 years in data engineering, analytics, or marketing technology, including technical leadership of data-intensive projects and mentoring engineering teams. - A track record as both strategist and practitioner who stays hands-on. - Deep, hands-on experience across Snowflake and BigQuery—modeling, performance, governance, and cost, and strong SQL. - Demonstrated Looker / LookML expertise as a primary visualization and semantic layer. - Strong Python skills, with proven ETL/ELT design and hands-on experience across AWS and Google Cloud Platform. - Subject-matter-level command of the marketing data stack, tag management, CDPs, server-side tracking, CAPI / Enhanced Conversions / Offline Conversion Import, Consent Mode, with the depth to direct specialists and speak with authority in front of clients. - Working command of privacy and consent regulation (CCPA/CPRA, GDPR) and its practical impact on tracking and measurement. - Strong communication skills across executive, client, and engineering audiences. - Agency experience supporting a major global brand is a plus. - Hands-on familiarity with tools like Matillion, dbt, Fivetran, or Airflow is a plus. - Experience with server-side GTM, identity/clean-room work (e.g., LiveRamp), or mobile measurement (AppsFlyer / Adjust / Branch) is a plus. Requirements - Data Vision: Contribute to the multi-quarter data technology roadmap across both BI and MarTech, aligned to the client's business goals. - Trusted Advisor: Act as a key technical voice in relationships, translating business questions into measurable data problems and technical realities into actionable language. - Architecture Guidance: Guide architecture decisions, measurement methodology, and data-quality frameworks across the practice. - Pragmatic Delivery: Balance near-term delivery with the long-term discipline of a maintainable, well-governed ecosystem. - Warehouse Architecture: Support the BI stack end to end, covering ingestion, transformation, modeling, and activation, across Snowflake and BigQuery. - Hands-On Engineering: Write the Python, design the models, stand up the AWS/GCP/ETL plumbing, and conduct thorough code reviews. - Governed Self-Serve: Work with Looker / LookML as the governed semantic layer and primary visualization surface, driving toward trusted self-serve analytics. - Healthy at Scale: Enforce the practices that keep a warehouse sound: modeling conventions, access governance, cost management, and pipeline observability. - Subject-Matter Expert: Be a technical authority on the marketing data stack, able to diagnose a consent, tagging, or measurement issue and direct implementation specialists. - Platform Command: Command the major media platforms and their supporting technology: Google Ads, Meta, SA360, DV360, CM360, alongside tag management (GTM, Tealium), CDPs, and server-side tracking. - Signal & Measurement Strategy: Implement strategies for modern signal capture, spanning Consent Mode v2, server-side GTM, Conversions API (CAPI), Enhanced Conversions, Offline Conversion Import, and Customer Match, as well as mobile attribution (MMPs, SDKs, SKAdNetwork / Aggregated Event Measurement). - Privacy by Design: Maintain the compliance posture for data tracking, covering CCPA/CPRA, GDPR, and consent frameworks, ensuring measurement holds up in a signal-loss, cookie-deprecation environment built on durable first-party data. - Raise the Bar: Set high technical standards and elevate the specialists around you through advanced code reviews and architectural workshops. - Technical Face: Represent the practice's data capability to client stakeholders. - Escalation Anchor: Serve as an internal and external escalation point for complex technical, prioritization, and delivery challenges. Benefits - Healthcare, Dental, and Vision coverage - 401k plan, plus matching - PTO - Paid Company Holidays - Parental Leave

Role Description You will be: - Designing and developing executive-level dashboards in Power BI with a strong focus on clarity, storytelling, and decision support. - Gathering business requirements directly from stakeholders, including senior leadership and marketing teams. - Translating complex datasets into clear, actionable insights that support strategic decision-making. - Building and optimizing data models to ensure performance, scalability, and usability. - Analyzing marketing performance, including campaign effectiveness, ROI, cost efficiency, and reach. - Collaborating closely with marketing teams to measure, monitor, and improve campaign outcomes. - Ensuring data quality, consistency, and governance across reporting solutions. - Applying best practices in data visualization, user experience, and storytelling for executive audiences. - Working in a fast-paced environment with rapid iterations and evolving business priorities. - Challenging business assumptions and providing data-driven recommendations to support informed decisions. Qualifications - Strong hands-on experience with Power BI. - Proven experience in marketing analytics, including campaign performance, ROI, and marketing KPIs. - Advanced SQL skills. - Experience gathering requirements directly from business stakeholders and translating them into analytical solutions. - Strong ability to build executive-friendly dashboards and communicate insights through data storytelling. - Solid understanding of data modeling principles, including star schema and performance optimization. - Strong analytical thinking and problem-solving skills. - Ability to thrive in a fast-paced environment with quick decision-making cycles. - Excellent communication and stakeholder management skills, with the confidence to challenge and guide business decisions. - Very good English language skills (written and spoken). Requirements - Work from the European Union region and a valid work permit are required. Nice to have - Experience with cloud platforms, preferably Azure. - Knowledge of modern data warehousing solutions such as Azure Synapse, Snowflake, or BigQuery. - Experience with ETL/ELT tools such as Azure Data Factory or dbt. - Familiarity with data governance and data quality practices. - Experience supporting executive stakeholders or C-level reporting. - Experience with near real-time analytics. - Basic knowledge of Python or R for data analysis. - Understanding of digital marketing channels and attribution models. - Experience applying UX/UI best practices in BI dashboards. - Experience in logistics, e-commerce, or other high-scale operational environments. Recruitment Process - CV review - HR call - Interview - Client Interview - Decision

Job Title: BOE Reporting - Strong understanding of end-to-end business processes and product lifecycles (e.g., mortgages, ISAs, equities). - Broad technical and analytical skills (e.g., SQL, testing, data analysis, accounting concepts, process design, stakeholder management). - Ability to develop specialist knowledge of the relevant systems and data flows. - Bank of England (BoE) Statistical Reporting knowledge is desirable. - Strong understanding of end-to-end business processes and product lifecycles (e.g., mortgages, ISAs, equities). Ability to learn quickly and build depth over time; as a guide, it typically takes ~2 years to become fully self-sufficient (less with prior BoE Statistical Reporting experience