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- Tasks: Build and model data solutions using SAP and Apache tools.
- Company: Join a leading utilities company driving innovation in data.
- Benefits: Enjoy a hybrid work model and competitive salary up to £52k.
- Why this job: Shape data strategy with AI and Machine Learning initiatives.
- Qualifications: Experience in data engineering and familiarity with SAP and Apache tools required.
- Other info: Be part of a growing team and collaborate in agile sprints.
The predicted salary is between 31200 - 52000 £ per year.
Job Title – Data Engineer Location – Hybrid, one day in Coventry per week Salary – up to £52k Start – ASAP The Opportunity Join a major utilities company as a Data Engineer, where you’ll play a vital role in building robust data solutions to support business insights and drive innovation. This is a unique opportunity to shape data strategy, working on initiatives in AI, Machine Learning, and Analytics that will power the company’s strategy and vision. The Data team will be growing over the coming months and years. You will be joining as one of the more Senior members in a team of 6. The Role In this role, you will develop and model enterprise-level data assets using SAP Datasphere, supporting reporting and analytics through SAP Analytics Cloud, PowerBI, and other platforms. You will design efficient data pipelines and workflows using Apache Spark and Databricks, which will streamline data processing across the company’s systems. Additionally, you will implement robust data standards and processes across the team and ensure all data handling adheres to privacy and security protocols, aligning with company policies. Working in agile sprints, you will collaborate closely with product owners, data analysts, and other engineers to deliver high-quality, strategic data solutions for the business. The Person …
Data Engineer employer: JLA Resourcing
Contact Detail:
JLA Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarize yourself with SAP Datasphere and SAP Analytics Cloud, as these are key tools for the role. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to mastering these platforms.
✨Tip Number 2
Gain hands-on experience with Apache Spark and Databricks. You can work on personal projects or contribute to open-source initiatives to showcase your ability to design efficient data pipelines and workflows.
✨Tip Number 3
Network with professionals in the data engineering field, especially those who have experience in utilities or similar industries. Attend meetups or webinars to connect with potential colleagues and learn about industry trends.
✨Tip Number 4
Stay updated on best practices for data privacy and security protocols. Understanding these standards will not only help you in the role but also show that you prioritize compliance and ethical data handling.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position. Understand the key responsibilities and required skills, such as experience with SAP Datasphere, Apache Spark, and data analytics tools.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your expertise in building data solutions, working with data pipelines, and any experience with AI or Machine Learning projects.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your background makes you a great fit for the role. Mention specific projects or achievements that demonstrate your ability to deliver high-quality data solutions.
Highlight Collaboration Skills: Since the role involves working closely with product owners and data analysts, be sure to mention any experience you have in collaborative environments. Discuss how you’ve successfully worked in teams to achieve project goals.
How to prepare for a job interview at JLA Resourcing
✨Understand the Tech Stack
Make sure you are familiar with SAP Datasphere, Apache Spark, and Databricks. Be prepared to discuss your experience with these technologies and how you've used them to build data solutions in the past.
✨Showcase Your Problem-Solving Skills
Be ready to provide examples of how you've tackled complex data challenges. Highlight your ability to design efficient data pipelines and workflows, and discuss any innovative solutions you've implemented.
✨Emphasize Collaboration
Since this role involves working closely with product owners and data analysts, be prepared to talk about your experience in agile environments. Share examples of successful teamwork and how you contributed to delivering high-quality data solutions.
✨Discuss Data Standards and Security
It's crucial to demonstrate your understanding of data privacy and security protocols. Be ready to explain how you've implemented robust data standards in previous roles and how you ensure compliance with company policies.
