(INV) Senior Consultant, Data Engineer, AI&Data, UKI

EY Studio+ Nederland; Belfast; On-site; GBP 50,000 - 70,000; Full time

Job summary

A global consulting firm in Northern Ireland is seeking a highly skilled Data Engineer Senior Consultant to design and implement data solutions. You will develop end-to-end data pipelines and collaborate with multidisciplinary teams. Candidates should have a degree in Computer Science or related fields, extensive experience with cloud platforms, and strong programming skills in Python and SQL. The role offers full-time employment in a dynamic and supportive environment.

Qualifications

• Hands-on experience designing, building, and optimizing data solutions.
• Experience with data governance and compliance requirements.
• Experience with real-time data processing using platforms like Kafka.

Responsibilities

• Design and deploy end-to-end data pipelines for complex business problems.
• Collaborate with data scientists to deliver integrated solutions.
• Optimize data storage and retrieval for performance on cloud platforms.

Skills

Experience building and maintaining data pipelines using platforms such as Databricks

Good programming skills in Python and SQL

Solid understanding of data modeling and ETL/ELT processes

Experience with data quality frameworks

Familiarity with version control (Git)

Education

Degree or equivalent certification in Computer Science or related field

Tools

Databricks

Azure Data Factory

Snowflake

Apache Kafka

Power BI

Job description

At EY were all in to shape your future with confidence.

Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Data Engineer Senior Consultant Job Specification

Location : Belfast or Derry / Londonderry

Position Overview

We are seeking a highly skilled Data Engineer Senior Consultant with hands‑on experience designing building and optimizing data solutions that enable advanced analytics and AI‑driven business transformation. This role requires expertise in modern data engineering practices cloud platforms and the ability to deliver robust scalable data pipelines for diverse business domains such as finance supply chain energy and commercial operations.

Your Client Impact

• Design develop and deploy end‑to‑end data pipelines for complex business problems supporting analytics modernising data infrastructure and AI / ML initiatives.
• Design and implement data models ETL / ELT workflows and data integration solutions across structured and unstructured sources
• Collaborate with AI engineers data scientists and business analysts to deliver integrated solutions that unlock business value.
• Ensure data quality integrity and governance throughout the data lifecycle.
• Optimize data storage retrieval and processing for performance and scalability on cloud platforms (Azure AWS GCP Databricks Snowflake).
• Translate business requirements into technical data engineering solutions including architecture decisions and technology selection.
• Contribute to proposals technical assessments and internal knowledge sharing.
• Data preparation feature engineering and MLOps activities to collaborate with AI engineers data scientists and business analysts to deliver integrated solutions

Essential Qualifications

• Degree or equivalent certification in Computer Science Data Engineering Information Systems Mathematics or related quantitative field.

Essential Criteria

• Experience building and maintaining data pipelines using platforms such as Databricks Azure Data Factory Snowflake or similar
• Good programming skills in Python and SQL with familiarity with data engineering libraries (e.g. pandas PySpark dbt)
• Solid understanding of data modelling ETL / ELT processes and Lakehouse concepts
• Experience with data quality frameworks data governance and compliance requirements.
• Familiarity with version control (Git) CI / CD pipelines and workflow orchestration tools (Airflow Prefect).

Soft Skills

• Strong analytical and problem‑solving mindset with attention to detail.
• Good team player with effective communication and storytelling with data and insights.
• Consulting skills including development of presentation decks and client‑facing documentation.

Preferred Criteria

• Experience with real‑time data processing (Kafka Kinesis Azure Event Hub).
• Knowledge of big data storage solutions (Delta Lake Parquet Avro).
• Experience with data visualization tools (Power BI Tableau Looker).
• Understanding of AI / ML concepts and collaboration with AI teams.

Preferred Qualifications

• Certifications such as :
• Databricks Certified Data Engineer Professional
• Azure Data Engineer Associate
• AWS Certified Data Analytics Specialty
• SnowPro Advanced : Data Engineer

AI&Data2026

EY Building a better working world

EY is building a better working world by creating new value for clients people society and the planet while building trust in capital markets.

Enabled by data AI and advanced technology EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance consulting tax strategy and transactions. Fueled by sector insights a globally connected multi‑disciplinary network and diverse ecosystem partners EY teams can provide services in more than 150 countries and territories.

Required Experience : Senior IC

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1