At a Glance
- Tasks: Create and maintain data pipelines, optimise processes, and build analytics tools for actionable insights.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Competitive salary, benefits package, and opportunities for professional growth.
- Other info: Dynamic work environment with cross-functional team collaboration.
- Why this job: Be at the forefront of big data technology and make a real impact on business performance.
- Qualifications: 5+ years in Data Engineering with strong SQL and big data tool experience.
The predicted salary is between 30000 - 30000 £ per year.
Responsibilities for Data Engineer:
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional/non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer:
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- A successful history of manipulating, processing, and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Salary: 30000 per annum + benefits
Cloud Data Engineer in Bristol employer: VM2R Services
As a Cloud Data Engineer at our innovative company, you will thrive in a dynamic work culture that prioritises collaboration and continuous learning. We offer competitive salaries, comprehensive benefits, and ample opportunities for professional growth, all while working in a cutting-edge environment that leverages the latest big data technologies. Join us in a location that fosters creativity and innovation, ensuring your contributions make a meaningful impact on our business and customers.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving big data tools like Hadoop or Spark. This gives you a chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data pipeline knowledge. Be ready to discuss how you've tackled complex data challenges in the past. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Cloud Data Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Cloud Data Engineer role. Highlight your experience with SQL, big data tools, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've built or optimised data pipelines. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. Explain why you're a great fit for the role and how you can contribute to our team at StudySmarter. We appreciate straightforward communication!
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. We can’t wait to hear from you!
How to prepare for a job interview at VM2R Services
✨Know Your Data Tools
Make sure you brush up on your knowledge of big data tools like Hadoop, Spark, and Kafka. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your SQL Skills
Since advanced SQL knowledge is crucial for this role, prepare to demonstrate your query authoring skills. You might be asked to solve a problem on the spot, so practice writing queries that manipulate and extract data from relational databases.
✨Understand the Business Impact
Be prepared to talk about how your work as a Data Engineer has directly impacted business performance. Think of specific examples where your data pipelines or analytics tools led to actionable insights that improved customer acquisition or operational efficiency.
✨Collaboration is Key
This role involves working with various teams, so highlight your experience in cross-functional collaboration. Share examples of how you've supported stakeholders with data-related issues and how you’ve contributed to team projects in a dynamic environment.
