• Support the end‑to‑end data‑to‑insight lifecycle, working with colleagues across the Sales Enablement & Technologies team and wider commercial and sales teams. • Supporting the design, build and maintenance of Power BI reports and dashboards • Helping to improve visibility of the sales pipeline, forecasting and performance reporting • Producing campaign, account and customer engagement reporting to support sales teams • Supporting Power BI governance, standards and best practice • Monitoring and maintaining Power Automate flows that underpin reporting and data pipelines • Assisting with data quality checks, approvals and reporting integrity • Supporting the maintenance of dataflows and semantic models • Assisting with ETL processes and supporting day‑to‑day Alteryx administration, including running, monitoring and validating workflows used in reporting pipelines • Working with developers and analysts to help maintain clean, structured and scalable data models • Supporting forecasting and revenue planning analysis • Assisting with SAP‑driven analysis for renewals, retention and “renew & grow” activity • Helping to identify trends, risks and opportunities within the sales pipeline through analysis and reporting.

Role Description The Stats and Analytics team at StackAdapt solves complex distributed system challenges, focusing on scalability, performance, reliability, and data consistency. The Data Delivery Team is responsible for transforming foundational data into customer-facing insights and products. They build the pipelines, services, and APIs that power reporting, billing, pacing, and analytics experiences across the platform. What You'll Be Doing: - Building highly scalable, distributed real-time micro-services primarily written in Go - Working with large data sets and various databases including Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, MariaDB - Working with data lakehouse technologies like Apache Iceberg, Apache Trino, and real-time analytics technologies like StarRocks and Clickhouse - Building software that utilizes messaging queues such as Kafka, SQS, and Kinesis - Writing performance efficient and memory optimized code Qualifications - 2+ years of experience as a Backend Software Engineer - Very strong problem solving skills in data structures, algorithms, and optimization - Experience working with relational databases and/or key-value stores - Experience building scalable micro-services and distributed systems Benefits - Highly competitive salary - Retirement/401K/Pension Savings globally - Competitive Paid time off packages including birthdays off! - Access to a comprehensive mental health care program - Health benefits from day one of employment - Work from home reimbursements - Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto - Robust training and onboarding program - Coverage and support of personal development initiatives (conferences, courses, books etc) - Access to StackAdapt programmatic courses and certifications to support continuous learning - An awesome parental leave program - A friendly, welcoming, and supportive culture - Our social and team events! Company Description StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt.

• Develop and maintain ETL processes to support data ingestion, transformation, and integration. • Work with various file formats (TXT, CSV, XML, JSON, YAML) to ensure seamless data processing. • Implement and optimize ETL workflows using EasyMorph, Databricks, Azure Data Factory, Talend, and Apache Nifi. • Write clean, efficient, and maintainable code using Python, C#, or Java. • Ensure data quality, accuracy, and integrity across ETL pipelines. • Collaborate with data engineers and analysts to define and refine ETL requirements. • Troubleshoot and resolve ETL failures, ensuring minimal downtime and impact. • Follow test-driven development (TDD) methodologies to improve reliability and maintainability. • Maintain and document ETL processes, providing insights and recommendations for improvements.

• Partner with product managers, marketers, and engineers to define, implement, and QA Segment tracking plans, ensuring consistent and reliable event data across all surfaces (web, mobile, backend) • Act as a technical owner for Segment event pipelines, monitoring schema drift, naming violations, destination delivery issues, and Protocols violations • Develop and manage custom mappings, traits, and transformations in Segment (including Segment Functions) to power downstream destinations like Braze, Amplitude, and Snowflake • Enable the marketing team to activate audiences and campaigns by ensuring accurate and timely data flows to destinations • Collaborate with data platform engineers to scale our Airflow-based orchestration and build testing frameworks for event and customer data quality • Conduct periodic audits, validation tests, and regressions to ensure data completeness and integrity across environments • Maintain documentation, event naming conventions, and cross-functional education efforts to drive better data literacy and consistency in instrumentation