SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Satori Analytics is a fast-growing scale-up of 100+ tech specialists delivering innovative data and AI solutions across industries including FMCG, retail, manufacturing, and financial services. The company operates cloud-based ecosystems and predictive models serving global brands, with a focus on the data lifecycle from ingestion through AI applications.
You will design, build, and operate scalable data platforms powering a global payments and financial-services leader's marketing services products. Your work will enable campaign measurement, customer insights, reporting, and AI/ML initiatives by partnering with Product, Engineering, Data Science, and Business stakeholders to solve complex data challenges at enterprise scale.
Key responsibilities include: designing and deploying scalable batch, streaming, and real-time data pipelines for business-critical marketing products and analytics workloads; developing reusable frameworks and services for ingestion, transformation, orchestration, and delivery across data lake, warehouse, and lakehouse solutions; leading platform scalability, performance, reliability, and resiliency initiatives; strengthening data quality, observability, governance, security, and lineage; driving cloud migration and modernization toward cloud-native architectures; providing trusted data foundations for advanced analytics, reporting, AI/ML, experimentation, and customer insights; establishing engineering best practices, CI/CD automation, and infrastructure-as-code; and contributing technical leadership, mentoring engineers, and shaping architectural decisions.
Required expertise: extensive experience designing scalable data platforms and distributed data-processing solutions; strong proficiency with modern data engineering technologies (Spark, Kafka, Hadoop ecosystem, cloud-native services); fluency in Python, Java, Scala, or SQL; deep understanding of data modeling, ETL/ELT patterns, data architecture, and lifecycle management; hands-on cloud platform experience (Databricks, AWS, Azure, GCP); solid grasp of data governance, security, privacy, lineage, and compliance; CI/CD and DevOps automation skills; strong problem-solving for distributed systems; and experience leading technical initiatives and mentoring engineers.
Bonus qualifications include marketing/campaign/customer-insights domain experience, real-time streaming at enterprise scale, exposure to Generative AI or AI-assisted workflows, and advanced degree in Computer Science or related field.
The role offers competitive salary, hybrid work with flexibility to work remotely from anywhere in the European Economic Area or UK (up to 6 weeks annually), training budget for certifications and courses from top tech partners, private insurance, and top-tier tech equipment.
