At a Glance
- Tasks: Lead the design and development of large-scale data systems and ETL processes.
- Company: Dynamic tech company offering hybrid working and a collaborative environment.
- Benefits: Competitive daily rate, flexible working, and opportunities for professional growth.
- Other info: Inclusive workplace that values diversity and offers excellent career advancement.
- Why this job: Make an impact by optimising data solutions and driving analytics across the organisation.
- Qualifications: Experience in ETL/ELT, data warehousing, and strong SQL skills required.
Location: Warwick (Hybrid Working)
Rate: £550 - £650 per day (Umbrella)
Contract: Initial 6 Months
Role Overview
Our client is seeking a skilled Senior Data Engineer to lead the design, development, and maintenance of data integration solutions and data warehouse environments. This role will focus on building and optimising ETL/ELT pipelines, supporting data warehousing initiatives, and ensuring the quality, performance, and reliability of large-scale data systems. The successful candidate will collaborate closely with data architects, analysts, and developers to drive data integration and analytics across the organisation.
Key Responsibilities
- Lead the design, development, and maintenance of large-scale data systems, including data warehouses, data lakes, and pipelines.
- Design, develop, and maintain ETL/ELT processes utilising tools such as Matillion.
- Create and maintain optimal data flows and data pipeline architectures.
- Develop and manage data warehouse objects, including tables, views, and security roles in Snowflake.
- Extract data from diverse sources, including databases, flat files, and APIs.
- Transform and cleanse data to ensure quality and integrity.
- Load data into the data warehouse while ensuring consistency and accuracy.
- Optimize ETL processes for performance, scalability, and reliability.
- Implement data validation, quality checks, and security measures.
- Troubleshoot and resolve data issues, performance bottlenecks, and ETL failures.
- Implement best practices for data warehousing, data modelling, and ETL development.
- Document ETL processes, data mappings, and configurations.
- Collaborate closely with data architects, analysts, and developers to support data integration initiatives.
Requirements
- Experience with relational databases, ETL/ELT, and data warehousing.
- Expertise in ETL/ELT tools such as Informatica, ODI, Matillion, or SSIS.
- Experience with cloud-based data platforms like Snowflake.
- Proven experience in designing and developing complex near real-time and/or batch data integration solutions.
- Familiarity with both traditional and non-traditional analytical data design methodologies (e.g., Kimball, Inmon).
- Strong SQL programming skills and a solid understanding of relational database concepts.
- Experience in loading and maintaining enterprise data warehouse environments.
Nice to Have
- Experience working with finance data or within financial services environments.
- Familiarity with SAP systems and databases.
- Knowledge of data visualisation tools such as Power BI or Tableau.
Equal Opportunity Statement
We respect and appreciate people of all ethnicities, beliefs, orientations, identities, and more. We showcase their talents, skills, and unique experience in an inclusive environment that helps them thrive.
Senior Data Engineer in CV34 in Warwick employer: Energy Jobline ZR
As a Senior Data Engineer at our Warwick location, you will join a dynamic team that values innovation and collaboration, offering a hybrid working model that promotes work-life balance. We provide competitive rates and a supportive environment where your expertise in data integration and warehousing will be recognised and nurtured, alongside opportunities for professional growth and development in a forward-thinking organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in CV34 in Warwick
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering field. You never know who might have a lead on that perfect Senior Data Engineer role.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with ETL/ELT processes and data warehousing. Bring up specific projects where you’ve optimised pipelines or tackled data issues – it’ll make you stand out!
✨Tailor Your Approach
Before any interview, do your homework! Research the company’s data systems and challenges they might be facing. Tailor your answers to show how your skills with tools like Matillion and Snowflake can help them achieve their goals.
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying through StudySmarter not only gives you access to exclusive roles but also connects you with a community that supports your career journey. Let’s land that Senior Data Engineer gig together!
We think you need these skills to ace Senior Data Engineer in CV34 in Warwick
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with ETL/ELT processes and data warehousing, especially with tools like Matillion and Snowflake. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific projects where you've designed and developed data integration solutions. We love seeing real-world examples of your work, so don’t hold back on the details about the challenges you faced and how you overcame them.
Be Clear and Concise:When writing your application, keep it clear and concise. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication that gets to the point!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Energy Jobline ZR
✨Know Your ETL Tools Inside Out
Make sure you’re well-versed in the ETL/ELT tools mentioned in the job description, especially Matillion. Be ready to discuss your experience with these tools and how you've used them to optimise data pipelines in previous roles.
✨Showcase Your Data Warehousing Expertise
Prepare to talk about your experience with data warehousing, particularly with Snowflake. Highlight specific projects where you designed or maintained data warehouse objects, and be ready to explain your approach to ensuring data quality and integrity.
✨Demonstrate Problem-Solving Skills
Think of examples where you’ve troubleshot data issues or performance bottlenecks. Be prepared to walk through your thought process and the steps you took to resolve these challenges, as this will show your analytical skills and ability to handle pressure.
✨Collaborate and Communicate
Since this role involves working closely with data architects, analysts, and developers, be ready to discuss how you’ve collaborated in the past. Share examples of how you’ve communicated complex data concepts to non-technical stakeholders to ensure everyone is on the same page.
