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- Tasks: Lead the design and delivery of enterprise analytics solutions on Azure.
- Company: Join a forward-thinking company focused on data-driven decision making.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make an impact by transforming business needs into scalable data solutions.
- Qualifications: Bachelor's degree in IT and experience with Azure Data Lake and Databricks.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 ÂŁ per year.
The Applications Data Engineer is responsible for leading the design, delivery, and ongoing evolution of enterprise analytics solutions on the Azure data platform. This role combines hands‑on data engineering with strong business engagement. The Data Engineer works closely with business stakeholders, product owners, and IT teams to understand business requirements and translate them into scalable, cloud‑based data solutions using Azure Data Lake, Databricks, and Power BI. The role provides technical direction, establishes data engineering best practices, and ensures analytics solutions are delivered end‑to‑end — from data ingestion and transformation through to trusted, business‑ready datasets and Power BI dashboards that support insight‑driven decision making.
Main Responsibilities
- Work with stakeholders across the organisation to understand business needs and identify opportunities to leverage data to drive business outcomes.
- Translate business requirements into scalable data pipelines, analytical datasets, and reporting solutions.
- Provide regular updates to stakeholders on progress, risks, and challenges throughout delivery.
- Design, build, and maintain robust data pipelines using Azure Data Lake and Databricks to ingest, transform, and curate data.
- Develop and optimise data transformations, integrations, and data models to ensure high‑quality, reliable, and performant datasets.
- Assess the effectiveness of data sources and data‑collection methods, recommending and implementing improvements where required.
- Deliver Power BI semantic models, reports, and dashboards that clearly communicate insights and support data‑driven decision making.
- Analyse enterprise data to support optimisation, performance improvement, and operational insights.
- Promote reuse of datasets, data models, and analytics assets across multiple business functions (e.g. operations, finance, HR, marketing).
- Stay informed of emerging technologies, tools, and techniques relevant to data engineering and analytics.
- Conduct research, prototypes, and proofs of concept to validate new approaches and enhance the data platform.
- Ensure data solutions meet governance, security, and compliance requirements, including SOX, ISO, and ITIL frameworks.
- Apply data engineering best practices across data quality, documentation, monitoring, and operational support.
Required Education And Qualifications
- A bachelor’s degree in Information Technology subject (or similar).
- Certified in ITIL Foundation.
- PRINCE2 qualification.
Required Knowledge And Experience
- Strong experience leading end‑to‑end data and analytics delivery in a business‑facing environment.
- Proven ability to translate business requirements into technical solutions.
- Hands‑on experience with Data Lake (ADLS).
- Strong experience using Databricks.
- Experience delivering Power BI data models, dashboards, and reports.
- Strong data modelling expertise.
- Solid understanding of data governance, data quality, and security principles.
Required Skills And Competencies
- Strong internal and external stakeholder communication skills.
- Ability to problem solve.
- Excellent teamworking skills.
- Presentation skills.
Applications Data Engineer in Wantage employer: Crown Holdings, Inc.
Contact Detail:
Crown Holdings, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applications Data Engineer in Wantage
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Applications Data Engineer role.
✨Tip Number 2
Prepare for those interviews by practising common questions related to data engineering and analytics. We recommend doing mock interviews with friends or using online platforms to get comfortable talking about your experience with Azure Data Lake and Databricks.
✨Tip Number 3
Showcase your skills through a portfolio! Create a GitHub repository or a personal website where you can display your projects, especially those involving Power BI dashboards and data pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Applications Data Engineer in Wantage
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Applications Data Engineer role. Highlight your hands-on experience with Azure Data Lake, Databricks, and Power BI, as these are key to what we’re looking for.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering and how you can contribute to our team. Share specific examples of how you've translated business requirements into technical solutions in the past.
Showcase Your Projects: If you’ve worked on relevant projects, don’t hesitate to include them! Whether it’s a personal project or something from a previous job, showing us your practical experience with data pipelines and analytics will make you stand out.
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’s super easy!
How to prepare for a job interview at Crown Holdings, Inc.
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure Data Lake, Databricks, and Power BI. Brush up on your hands-on experience with these tools, as you’ll likely be asked to discuss specific projects or challenges you've faced using them.
✨Understand the Business Side
Since this role involves strong business engagement, be prepared to talk about how you've translated business requirements into data solutions. Think of examples where your work directly impacted business outcomes and be ready to share those stories.
✨Showcase Your Communication Skills
You’ll need to communicate effectively with stakeholders, so practice explaining complex technical concepts in simple terms. Prepare to discuss how you’ve kept stakeholders updated on project progress and how you’ve handled any challenges along the way.
✨Demonstrate Problem-Solving Abilities
Be ready to tackle hypothetical scenarios or case studies during the interview. Think through how you would approach designing a data pipeline or optimising a dataset, and articulate your thought process clearly.