At a Glance
- Tasks: Design and optimise scalable data pipelines using PySpark and AWS services.
- Company: Join a forward-thinking tech company in Northampton with a hybrid work model.
- Benefits: Competitive contract pay, flexible working, and opportunities for skill enhancement.
- Other info: Dynamic role with potential for growth and exposure to cutting-edge technologies.
- Why this job: Make an impact by building robust data solutions and collaborating with diverse teams.
- Qualifications: 5+ years of Data Engineering experience with strong PySpark and AWS skills.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for an experienced AWS Data Engineer with strong PySpark expertise to design, develop, and optimize scalable data pipelines and cloud-based data platforms. The ideal candidate will have hands‑on experience in building ETL/ELT solutions on AWS, processing large datasets using Spark, and implementing data engineering best practices.
Key Responsibilities
- Develop and maintain scalable data pipelines using PySpark and AWS services.
- Build robust ETL/ELT workflows for ingesting, transforming, and loading data from multiple sources.
- Design and manage data lakes and data warehouse solutions on AWS.
- Work with AWS services such as S3, Glue, EMR, Redshift, Lambda, Athena, IAM, and CloudWatch.
- Optimize Spark jobs for performance, scalability, and cost efficiency.
- Implement data quality, validation, and monitoring processes.
- Collaborate with business stakeholders, analysts, and architects to deliver data solutions.
- Support production deployments, troubleshooting, and performance tuning.
- Maintain technical documentation and follow data governance standards.
Required Skills
- 5+ years of Data Engineering experience.
- Strong hands‑on experience with PySpark and Apache Spark.
- Extensive experience with AWS Cloud Services: S3, Glue, EMR, Redshift, Athena, Lambda, IAM, CloudWatch.
- Strong programming skills in Python.
- Advanced SQL development and query optimization skills.
- Experience building large‑scale ETL/ELT pipelines.
- Knowledge of Data Warehousing and dimensional data modeling.
- Experience with Git and CI/CD practices.
Preferred Skills
- Experience with Databricks.
- Knowledge of Apache Airflow or AWS Step Functions.
- Experience with Kafka or real-time data processing.
- Exposure to Terraform and Infrastructure as Code (IaC).
- Experience with Snowflake or Lakehouse architectures.
- AWS Certification is highly desirable.
Data Engineer - AWS employer: N Consulting Limited
N Consulting Limited is an exceptional employer located in Solihull, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from comprehensive growth opportunities, including professional development and involvement in global projects, all while enjoying a supportive environment that values their contributions to digital transformation initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - AWS
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like N Consulting Limited!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer - AWS at N Consulting Limited.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like N Consulting Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer - AWS at N Consulting Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer - AWS
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at N Consulting Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at N Consulting Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at N Consulting Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at N Consulting Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
