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American Bureau of Shipping
Data Engineer - AI Practice TeamAmerican Bureau of Shipping • London, United Kingdom
Data Engineer - AI Practice Team

Data Engineer - AI Practice Team

American Bureau of Shipping • London, United Kingdom
30+ days ago
Job type
  • Full-time
Job description

ABS is seeking an exceptional Data Engineer to join us full-time on our Artificial Intelligence (AI) Practice Team. In this role, you will design and operate the data foundations that power AI chat assistants, custom AI models, and AI-driven process optimization for ABS Consulting clients. You will build robust pipelines that integrate structured and unstructured data, standardize and tag enterprise content, and enable scalable, low-latency retrieval for AI workloads. Working closely with AI engineers, consultants, and domain experts, you will turn messy real-world data into production-grade data assets that deliver measurable business impact.

What You Will Do:

  • Design, build, and maintain scalable ETL/ELT pipelines to ingest, clean, and transform structured and unstructured data for AI assistants and custom models.
  • Integrate diverse knowledge repositories (documents, policies, procedures, standards, databases) into centralized data platforms that support retrieval-augmented generation (RAG) and search.
  • Implement data standardization, normalization, and tagging pipelines to align content with enterprise taxonomies and ontologies.
  • Collaborate with AI/ML engineers to productionize model-ready datasets, feature stores, and embeddings for prediction, classification, and optimization use cases.
  • Optimize data workflows for reliability, cost, and performance across batch and streaming workloads, including monitoring, alerting, and capacity planning.
  • Establish and enforce data quality, lineage, and governance practices to ensure trustworthy inputs to AI systems and process-automation solutions.
  • Automate and templatize common data engineering patterns to accelerate delivery across multiple client engagements and industry domains.
  • Partner with consultants and business stakeholders to translate process optimization and analytics requirements into robust, maintainable data solutions.

What You Will Need:

Education and Experience

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a closely related technical field; Master’s degree preferred.
  • + years of professional data engineering experience designing, building, and operating production data solutions.
  • Demonstrated experience working in data-intensive environments (, analytics platforms, AI/ML workloads, large-scale content repositories, or enterprise data platforms).
  • Hands-on experience delivering solutions on at least one major cloud provider (AWS, Azure, or Google Cloud), including managed data and analytics services.

Knowledge, Skills, and Abilities

  • Strong command of SQL and at least one programming language commonly used in data engineering (Python preferred) for building production-grade data pipelines.
  • Hands-on experience with modern data processing frameworks and platforms (, Spark, Databricks, Snowflake, BigQuery, Synapse, or similar).
  • Proficiency with ETL/ELT orchestration tools and workflows (, Airflow, dbt, Azure Data Factory, AWS Glue, or equivalent).
  • Experience designing and operating data lakes/lakehouses and integrating multiple data sources (relational, NoSQL, files, APIs) into cohesive data models.
  • Deep experience working with unstructured and semi-structured data (documents, PDFs, JSON, logs), including content extraction, normalization, and metadata/tagging.
  • Familiarity with AI/ML data patterns, including feature engineering, embeddings, vector databases, and retrieval-augmented generation (RAG) pipelines.
  • Strong understanding of data modeling, data quality, data governance, and lineage practices for regulated or compliance-sensitive environments.
  • Proficiency with cloud-native data services (, S/ADLS/GCS, managed warehouses, streaming services like Kafka/Kinesis/Event Hubs).
  • Solid grounding in software engineering best practices (version control, CI/CD, testing, code review) as applied to data engineering.
  • Must hold a valid right to work status in the UK.

Reporting Relationships:

This role reports to a project manager and does not initially include direct reports.

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Data Engineer - AI Practice Team • London, United Kingdom

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