Data Engineer 12 month FTC Information Technology - Smiths Group - Birmingham

Smiths Group plc; United Kingdom; On-site; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Career Growth

Impactful Work

Collaborative Environment

Competitive Compensation & Benefits

Job summary

A global technology company in the United Kingdom is looking for a data engineer responsible for designing, building, and optimizing data pipelines, as well as developing AI and ML models. The role requires strong expertise in data services, particularly with Microsoft Azure, and demands analytical skills. Candidates should have a relevant degree and experience with big data technologies. Offering competitive compensation and opportunities for professional growth, the company promotes an inclusive work environment.

Qualifications

• Educated to degree level or equivalent.
• Technical experience and knowledge in On-Premise and Public Cloud Data Services.
• Experience with Microsoft Azure services.
• Familiarity with Big Data technologies.
• Strong analytical thinking and communication skills.

Responsibilities

• Identify and implement internal process improvements.
• Create data tools for analytics teams.
• Optimize existing ETL processes and manage data catalogues.
• Monitor key Azure functions and critical jobs.
• Ensure data curation aligns with Enterprise Data Model standards.

Skills

Database architecture

ETL

Data Mining

Business Intelligence

Big Data

Data Governance

Microsoft Azure

Hadoop

Spark

Machine Learning

AI

PowerBI

SAP

Oracle

Education

Degree level or equivalent

Tools

Azure SQL Database

Data Lake

Data Factory

Job description

Job Description

Responsible for designing and building the ingestion and transformation of data pipelines and maintain optimal data pipeline processes for the Smiths Group. Maintain the ingestion framework processes of data, apply security and governance of data as well as modelling to ensue data preparation is fit for purpose and protected at all times.

Build the process required for optimal extraction, transformation, and loading of data from a wide variety of data sources. Build analytics models that utilise the data pipeline to provide actionable insights into customer needs, operational efficiency and other key business performance metrics. Assemble large, complex data sets that meet functional / non-functional business requirements.

Build AI/ML models for varied use cases across Smiths. Work closely and proactively with Smiths teams and key business partners for Delivery, Transition and Support tasks Work with data owners, and design teams to assist with data-related technical issues and support their data infrastructure needs.

Duties & Responsibilities

• Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Work with data and analytics experts to strive for greater functionality in our data systems
• Optimize existing ETL process and employing a verity of data ingestion and data preparations tools, or write code such as Scala Python, and Java
• Manage & Maintain CDC and Data Catalogue processes
• Creating and maintaining analytical extracts
• Identify Sensitive and confidential datasets and use appropriate framework methods to protect the data
• Monitoring of key azure functions and critical jobs as well as components within the Smiths Data Lake
• Assigning and provisioning Azure resources within the Smiths Data Subscription
• Raise Microsoft and Azure related tickets using Microsoft support processes
• Work closely with Information Architect to ensure data curation remains line with Enterprise Data Model Standards.
• Continue to maintain existing Oracle and SQL services in BIS data centers and support to keep lights on.
• Keep our data separated and secure.

Qualifications

Individual Qualifications:

• Educated to degree level or equivalent.
• Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance
• Experience with Microsoft Azure a plus: Azure SQL Database, Analysis Services, Data bricks, Data Lake, Logic Apps and Data Factory
• Experience migrating or transforming legacy solutions to Public Cloud desirable
• Understanding of Big Data technologies (Hadoop, Spark)
• Familiarity with infrastructure considerations for data and system integration
• Broad knowledge of the design and implementation of applications' build, release, deployment, and configuration activities
• Analytical thinking and strong communication skills
• Ability to work with business owners to ensures analytics solutions meet business requirements
• A good understanding of data Security and privacy technologies
• Experience in working with offshore and onshore support model
• Designed and developed AI-driven applications using Azure OpenAI Service, Cognitive Search, and Document Intelligence for intelligent data extraction and retrieval
• Experience in working with Machine Learning and AI
• Experience in PowerBI (nice to have)
• Experience in ERPs - SAP, QAD & Oracle (nice to have)
• Strong Written and verbal communication skills
• A team player

Additional Information

What We Offer

• Career Growth: Be a key part of our digital transformation journey, with opportunities for professional development and career progression within a global enterprise.
• Impactful Work: Lead initiatives that have a direct impact on the efficiency and success of a world-class business.
• Collaborative Environment: Work alongside passionate experts in a culture that thrives on innovation, collaboration, and continuous improvement.
• Competitive Compensation & Benefits: A comprehensive benefits package and flexible working options that support your well-being and work-life balance.

Diversity & Inclusion

We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity.

At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website (Careers - Smiths Group plc).