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For Companies At a Glance
- Tasks: Own data and application integrations, driving automation and integrating AI into workflows.
- Company: Join a leading logistics organisation focused on innovation and sustainability.
- Benefits: Competitive salary, professional development, and exposure to large-scale digital transformation projects.
- Why this job: Make a real impact by improving operational systems and designing scalable data platforms.
- Qualifications: 5+ years in SQL, application support, and BI/data platforms; strong TSQL and Python skills required.
- Other info: Dynamic environment with opportunities for growth and collaboration across various departments.
The predicted salary is between 39000 - 46000 £ per year.
About the job
Job Information
- Department: IT
- Reports To: Head of IT
- Location: Aghalee (base location, travel expected)
- Salary Range: £45k to £55k depending on experience
Job Purpose
We’re hiring a senior, hands-on engineer to own data and application integrations across the group. You’ll combine strong TSQL and Python to support and improve our operational systems (TMS/WMS/FMS), design and build a scalable BI/data platform (AWS + Microsoft), and drive automation that removes spreadsheet based, siloed processes. You will also help integrate AI into BI and operational workflows, working closely with stakeholders across Logistics, Operations, Finance, and Compliance.
Duties and Responsibilities
- Data Platform & BI (AWS): Design and implement modern data architectures: S3 data lake, Glue Data Catalog/ETL, Athena, Redshift (or equivalent), Lake Formation (governance), and QuickSight (or equivalent BI tool) (datasets, in-memory acceleration, RLS/column-level security). Build reliable data pipelines (batch/stream) using Glue/Lambda/Step Functions, event-driven patterns (SQS/SNS/EventBridge), and CI/CD for data (IaC with Terraform/CloudFormation). Create dimensional models (star/snowflake), conformed dimensions, and robust SQL/Python transformations with strong testing and documentation. Implement monitoring, lineage, and cost optimisation; define and track RPO/RTO for analytics platforms.
- Applications & Integrations (TMS/WMS/FMS): Provide Level 3 application support across transport, warehouse, and fleet systems; triage incidents, tune SQL, and deliver permanent fixes. Build and maintain systems integrations via REST/SOAP APIs, EDI (XML/JSON) schemas, and flatfile interfaces (SFTP/AS2). Author integration runbooks, error-handling/retry patterns, and observability (dashboards/alerts) for data/app interfaces.
- SQL & Python Engineering: Write high-quality TSQL (procedures, functions, views), optimise queries/indexes, and manage release/change control. Develop Python services and utilities (ETL jobs, API clients, data quality checks, automation tools), packaged and containerised where suitable. Use Git and CI pipelines for versioning, testing, and releases.
- AI in BI & Operations: Integrate AI services to augment BI (e.g., automated insights, anomaly detection, natural-language Q&A, intelligent alerting) using platforms such as AWS Bedrock (and/or Azure equivalents), embedding safely into apps/dashboards. Implement RAG/semantic search on approved datasets; enforce guardrails, access controls, and auditability.
- Automation & Process Improvement: Replace spreadsheet/offline processes with governed datasets, apps, or workflows; standardise master data and reference tables. Build lightweight internal tools (portals, scripts, APIs) to streamline business workflows; document and train users.
- Security, Governance & DR: Enforce least-privilege, RBAC, and secrets management (KMS/SSM Parameter Store/Key Vault). Apply data governance (naming, cataloguing, classification, retention), access reviews, and audit logging across AWS/Microsoft estates. Contribute to backup/restore strategies and DR tests for data platforms and critical applications.
Knowledge, skills and experience required
- 5+ years professional experience across SQL (TSQL preferred), application support, and BI/data platforms.
- Hands-on with AWS analytics (S3/Glue/Athena/Redshift), and experience with a mainstream BI platform Power BI currently in use; QuickSight.
- Solid understanding of data modelling, performance tuning, and testing; comfortable with Git/CI and infrastructure as code.
- Excellent stakeholder engagement, documentation, and problem-solving; able to translate business needs into data solutions.
- Experience supporting and integrating operational systems (TMS/WMS/FMS) and working with APIs/EDI/XML/JSON.
- AWS: Data Analytics Specialty, Solutions Architect, Developer or SysOps; Quicksight Author/Admin.
- Microsoft: DP203 (Data Engineering), PL300 (Power BI), Fabric Analytics Engineer.
- Databases: Microsoft SQL Server (MCSA/DP300), PostgreSQL, MySQL experience beneficial.
- Integration/Security: ITIL v4, experience with Purview, Azure Data Factory, Kafka/Kinesis, or message brokers.
- Familiarity with bedrock-hosted LLMs (e.g., Claude) or Azure OpenAI, and vector databases.
Personal Attributes
- Analytical mindset with a solutions-focused approach.
- Strong communication and collaboration skills.
- Ability to manage multiple tasks and deliver to deadlines.
- Proactive, innovative, and adaptable in a changing environment.
Join a company focused on innovation, sustainability and growth. Exposure to large-scale digital transformation projects in a leading logistics organisation. Professional development and training opportunities. A competitive salary and company benefits are available for the right candidate.
Note: This description is intended to be a guide of what duties are most likely to be but should not be taken as a definitive list. Hannon may adapt duties as deemed necessary.
Senior Application Support Engineer employer: Hannon Transport
Contact Detail:
Hannon Transport Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Application Support Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Research the company and its tech stack, especially around AWS and Python, so you can show off your knowledge. Practice common interview questions and think of examples that highlight your problem-solving skills.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or so. A quick email can show your enthusiasm and keep you on their radar. Plus, it’s a great way to ask if they need any more info from you.
✨Tip Number 4
Check out our website for job openings! We’re always looking for talented individuals like you. Applying directly through our site can sometimes give you an edge, as we love seeing candidates who are proactive.
We think you need these skills to ace Senior Application Support Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Application Support Engineer role. Highlight your experience with TSQL, Python, and any relevant BI/data platforms. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your experience with AWS and application support.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love candidates who can demonstrate their analytical mindset and solutions-focused approach, especially when it comes to data and application integrations.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Hannon Transport
✨Know Your Tech Stack
Make sure you’re well-versed in TSQL and Python, as these are crucial for the role. Brush up on your knowledge of AWS services like S3, Glue, and Redshift, and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex issues in application support or data integration. Be ready to explain your thought process and the steps you took to resolve those challenges.
✨Engage with Stakeholders
Since this role involves working closely with various departments, think of instances where you’ve successfully collaborated with stakeholders. Highlight your communication skills and how you translated business needs into technical solutions.
✨Demonstrate Your Automation Mindset
Discuss any experience you have with automating processes or building lightweight tools. Be specific about the technologies you used and the impact your automation had on efficiency or accuracy.
