Data Engineer

Data Engineer – 12 Months Contract – Remote

Inside of IR35

Essential:-   Oil & Gas background. Enterprise data management. Business intelligence & analytics. Cloud data platforms (AWS, Azure, GCP). Data Modelling. Scripting & querying (Python, SQL). Pipeline development. API Integration. Strong stakeholder & communication skills.  Strong SQL, Python, JAVA, JSON, Parquet. Data warehousing. Degree.  ETL

Data Engineer Job Overview

The Data Engineer is responsible for building data integration solutions. You will be instrumental in implementing new technologies, designing & maintaining
scalable ETL/ELT processes, & developing & administering cloud-based data
platforms. This role requires a proactive individual with a passion for data quality, cloud
technology & continuous improvement.

Data Engineer key responsibilities:
 

• Design build & maintain high performance data pipelines & API’s
• Collaborate cross-functionally to understand business needs & align data
• strategies accordingly
• Assemble & optimise large, complex data sets from diverse sources.
• Champion data quality & promote a data-as-products mindset.
• Define & document technical solutions.
• Apply appropriate rigour & testing to all products delivered.
• Support troubleshooting & continuous improvement in all areas of data
• management.
• Foster a strong sense of ownership, urgency & teamwork within the Digital Team.

Data Engineer required to have:
 

• Bachelor’s degree in Data Science, Information Management, Computer Science, or a related discipline.
• Experience working in high-risk industries such as oil & gas, energy, or critical infrastructure is a plus.
• Ability to design efficient & scalable data models for various analytical & operational use cases. Understanding of normalization & denormalization.
• Strong ability to analyse complex data challenges, identify root causes, & propose effective solutions.
• Proficiency in designing, building, & optimizing Extract, Transform, Load (ETL) or ELT pipelines from databases.
• Experience with data pipeline orchestration tools like Informatica IICS, Azure Data Factory, or dbt Cloud.
• Experience integrating data from various internal & external APIs (REST, SOAP, GraphQL).
• Strong knowledge of data warehouse design principles, dimensional modelling, & experience with data warehousing solutions.
• Understanding & experience of Azure or AWS data lake concepts.
• Deep understanding of SQL databases, including schema design, indexing, & performance tuning.
• Familiarity with NoSQL databases for handling unstructured or semi-structured data.
• Strong experience with SQL, Python, JAVA, JSON, Parquet

Candidates must be eligible to work in the UK

With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.