At a Glance
- Tasks: Lead the design and development of data integration solutions and optimise ETL/ELT pipelines.
- Company: Join a forward-thinking company in Warwick with a hybrid working model.
- Benefits: Competitive daily rate, flexible working, and opportunities for professional growth.
- Other info: Inclusive workplace that values diversity and fosters career advancement.
- Why this job: Make a real impact by enhancing data systems and collaborating with talented professionals.
- 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 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. Our inclusive culture ensures that every employee's unique skills and experiences are celebrated, making this an excellent place to advance your career in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in CV34
✨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 game. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
When you land that interview, make sure to showcase your expertise with real examples. Talk about your experience with ETL processes, data warehousing, and any tools like Matillion or Snowflake you've used. We want to see how you’ve tackled challenges and delivered results!
✨Tailor Your Approach
Don’t just go in with a one-size-fits-all strategy. Research the company and understand their data needs. Tailor your discussions around how your skills can specifically help them optimise their data systems. This shows you’re genuinely interested and not just looking for any job.
✨Apply Through Our Website
We encourage you to apply directly through our website for the best chance at landing that Senior Data Engineer role. It streamlines the process and ensures your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Data Engineer in CV34
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, data warehousing, and any relevant tools like Matillion or Snowflake. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've designed and developed data systems. Talk about the challenges you faced and how you overcame them. This gives us a clear picture of your problem-solving skills and technical expertise.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication that gets right to the heart of your experience.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to submit all the necessary documents in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Energy Jobline ZR
✨Know Your ETL/ELT 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 past projects.
✨Showcase Your Data Warehousing Experience
Prepare examples of your work with data warehouses, particularly with Snowflake. Highlight specific challenges you faced and how you overcame them, as well as any best practices you implemented to ensure data quality and integrity.
✨Brush Up on SQL Skills
Since strong SQL programming skills are a must, practice writing complex queries and be prepared to solve SQL-related problems during the interview. This will demonstrate your technical proficiency and problem-solving abilities.
✨Collaborative Mindset is Key
Emphasise your experience working with cross-functional teams, such as data architects and analysts. Share examples of how you’ve collaborated to drive data integration initiatives, as teamwork is crucial for this role.
