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- Tasks: Design and build data pipelines for AI chat assistants and custom models.
- Company: Join ABS, a leader in marine safety and innovative tech solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving the future of AI and marine technology.
- Why this job: Make a real impact by transforming messy data into powerful AI solutions.
- Qualifications: Bachelor's degree in a related field and 6+ years of data engineering experience.
The predicted salary is between 60000 - 80000 £ per year.
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.
- 6+ years of professional data engineering experience designing, building, and operating production data solutions.
- Demonstrated experience working in data-intensive environments (e.g., 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 (e.g., Spark, Databricks, Snowflake, BigQuery, Synapse, or similar).
- Proficiency with ETL/ELT orchestration tools and workflows (e.g., 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 (e.g., S3/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.
About Us
We set out more than 160 years ago to promote the security of life and property at sea and preserve the natural environment. Today, we remain true to our mission and continue to support organizations facing a rapidly evolving seascape of challenging regulations and new technologies. Through it all, we are anchored by a vision and mission that help our clients find clarity in uncertain times. ABS is a global leader in marine and offshore classification and other innovative safety, quality, and environmental services. We’re at the forefront of supporting the global energy transition at sea, the application of remote and autonomous marine systems, cutting-edge technical solutions, and many more exciting advancements. Our commitment to safety, reliability, and efficiency is ever-present, guiding our clients to safer and more efficient operations.
Equal Opportunity
The ABS Group of Companies is committed to the equal employment opportunity of its employees and prohibits discrimination against any employee or qualified applicant based on race, color, creed, religion, national origin, sex, gender identity, age, disability, marital status, sexual orientation, citizenship status or veteran status, or other non-work-related characteristics that may be protected under the law of the Federal Government or specific state employment laws.
Notice
ABS and Affiliated Companies (ABS) will not pay a fee to any third-party agency without a valid ABS Master Service Agreement (MSA) authorized and signed by Human Resources. Any resume, CV, application, or other forms of candidate submission provided to any employee of ABS without a valid MSA on file will be considered property of ABS, and no fee will be paid.
Other
This job description is not intended, and should not be construed, to be an all-inclusive list of responsibilities, skills, efforts or working conditions associated with the job of the incumbent. It is intended to be an accurate reflection of the principal job elements essential for making a fair decision regarding the pay structure of the job.
Locations
Data Engineer - AI Practice Team in Cheshire, Warrington employer: ABS Group
Contact Detail:
ABS Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - AI Practice Team in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving AI and cloud platforms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical scenarios. Practice explaining your thought process when solving problems, as this is often just as important as the right answer.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at ABS.
We think you need these skills to ace Data Engineer - AI Practice Team in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL/ELT pipelines and any cloud platforms you've worked with. We want to see how your skills align with what we need!
Showcase Your Projects: Include specific projects where you've designed or operated data solutions. If you've worked on AI-related projects, make sure to mention them! This helps us understand your hands-on experience.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at ABS Group
✨Know Your Data Engineering Basics
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've designed and built ETL/ELT pipelines in your previous roles, as this will be a key focus for the Data Engineer position.
✨Showcase Your Cloud Experience
Since the role requires hands-on experience with cloud providers like AWS, Azure, or Google Cloud, prepare examples of projects where you've utilised these platforms. Highlight any managed data services you've worked with to demonstrate your familiarity.
✨Prepare for Technical Questions
Expect technical questions related to data processing frameworks and tools like Spark, Databricks, or Airflow. Practise explaining your thought process when solving data-related problems, as this will show your analytical skills and depth of knowledge.
✨Collaborate and Communicate
This role involves working closely with AI engineers and consultants, so be prepared to discuss how you've collaborated in the past. Share examples of how you translated complex data requirements into actionable solutions, showcasing your teamwork and communication skills.