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- Tasks: Design and build data pipelines to process large datasets and ensure data availability.
- Company: Join a forward-thinking company in Bromley or Chester, focused on innovation.
- Benefits: Competitive pay, flexible working options, and opportunities for skill development.
- Other info: Exciting contract role with potential for growth in a dynamic tech environment.
- Why this job: Be at the forefront of data engineering and make a significant impact on projects.
- Qualifications: Experience in data engineering and proficiency in programming languages like Python or Java.
The predicted salary is between 50000 - 70000 £ per year.
Type: Contract
Duration: 12 months
Location: Bromley or Chester
Job Description:
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience working on and delivering end to end projects independently
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience with SQL
Preferred qualifications:
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience with Apache Spark / Elastic Map Reduce
Data Engineer in London employer: Apex Systems US
Contact Detail:
Apex Systems US Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to fellow data engineers or professionals in your field on LinkedIn. Join relevant groups and participate in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data extraction, ETL pipelines, or any cool stuff you've built with Python or SQL. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with AWS technologies and distributed systems. Practise common data engineering interview questions to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data extraction, ingestion, and processing, as well as any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: When writing your application, don’t just list your skills—show us how you’ve used them! Include specific examples of end-to-end projects you've delivered, especially those involving large datasets and ETL pipelines. This helps us understand your hands-on experience.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications. Remember, we appreciate clarity and directness in communication!
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 to do!
How to prepare for a job interview at Apex Systems US
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your knowledge of AWS services, SQL, and any programming languages like Python or Java that you’ve used. Being able to discuss your experience with these tools confidently will show that you’re a great fit for the role.
✨Showcase Your Projects
Prepare to talk about specific projects where you’ve delivered end-to-end solutions. Highlight your role in building ETL pipelines or working with large datasets. Use concrete examples to illustrate how you tackled challenges and what impact your work had on the project’s success.
✨Understand Software Engineering Best Practices
Familiarise yourself with software development life cycle best practices. Be ready to discuss coding standards, code reviews, and operational excellence. This will demonstrate that you not only know how to code but also understand the importance of quality and maintainability in software engineering.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data architecture, team dynamics, or future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.