Senior Data Engineer

As a Senior Data Engineer at Indicium AI, you will serve as a technical authority within client engagements — leading architectural decisions, owning the delivery of complex data platforms, and shaping engineering standards across the engagement. This role requires someone who combines expert-level engineering with the communication skills to influence stakeholders and mentor colleagues.

• Lead the end-to-end design and delivery of scalable, production-grade data architectures including Data Warehouses, Data Lakes, and Lakehouses
• Define data engineering standards, patterns, and guardrails used across the team and client engagements
• Exercise full technical autonomy — propose, challenge, and refine architectural solutions with clients and internally
• Architect, build, and maintain mission-critical ELT pipelines
• Optimise complex data workflows for performance, cost efficiency, and long-term maintainability
• Own data infrastructure provisioning and lifecycle management via Infrastructure as Code (Terraform), ensuring scalability, security, and reliability at enterprise scale
• Lead cloud architecture decisions across AWS and/or Azure, aligning platform choices to client strategy and commercial constraints
• Establish and enforce data governance frameworks — access policies, data quality standards, lineage, and observability — in complex, regulated environments
• Define and own SLA commitments for critical data pipelines, leading incident response and continuous improvement efforts
• Act as a trusted technical advisor to senior client stakeholders, translating complex engineering decisions into clear business implications
• Contribute to pre-sales and scoping conversations, helping shape technically sound and commercially viable engagements
• Mentor junior and mid-level engineers, fostering a culture of engineering excellence, curiosity, and continuous learning
• Champion DevOps and DataOps practices — CI/CD, testing, observability, and documentation — as non-negotiable standards
• Drive research into emerging technologies and tools, translating findings into practical recommendations for the practice

• Programming: 5+ years of professional experience building production data systems, primarily in Python
• Proficiency in at least one additional language (Scala, Java, etc.)
• SQL: Expert-level SQL — schema design, complex query optimisation, and deep platform-specific knowledge (Snowflake, Redshift, etc.)
• Advanced dbt expertise
• Big Data: Deep experience with orchestration and transformation tooling like Spark, Presto, or Airflow — capable of leading complex aggregation and transformation logic at scale
• IaC: Advanced Terraform experience — modules, remote state, workspace management, and cloud-specific provider expertise
• Cloud Architecture: Advanced, multi-cloud experience (AWS, Azure) with professional or specialty-level certification on at least one platform
• Version Control & CI/CD: Advanced Git workflows with hands-on ownership of CI/CD pipelines for data platform delivery
• Strong written and spoken English
• Strong consultative instinct — you listen carefully, ask the right questions, and tailor solutions to client context
• Resilient and decisive under ambiguity; comfortable leading delivery with incomplete information in fast-moving engagements

• dbt Developer or dbt Architect certification is highly desirable (preference but not mandatory)

• Holiday Entitlement - 25 days holiday plus bank holidays
• Learning & Development: 1.500€ training budget + 5 training days
• Company Bonus - Discretionary company and personal bonus paid quarterly
• Pension Scheme
• Choose Your Kit - Select from a range of laptops and accessories
• Social Events: meeting - Ups, Squad events, Summer/ Christmas events, etc

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.