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For Companies At a Glance
- Tasks: Design and maintain scalable data pipelines using AWS cloud services.
- Company: Join Valcon, a fast-growing consulting and technology company in Europe.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make an impact by solving real data challenges with cutting-edge technology.
- Qualifications: Experience in AWS technologies and strong programming skills in Python and SQL.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Valcon is a north-western European consulting, technology and data company based in the UK, the Netherlands, Denmark, Sweden, and even Croatia.
Valcon is private equity backed and in recent years has bought together some of the most exiting companies from these companies to form one of the brightest and most exciting consultancies around.
We’re one of the fastest growing companies across Europe and have no plans to stop.
What do we do:
Our mission is to combine premium consulting with deep technology and data knowledge to add value to our clients.
Overview of Data Practice:
Every company has data challenges, easy or complex, big or small. This asks for flexibility and in-depth knowledge of data solutions and techniques. We help to define the data strategy and implement best-fit data solutions.
Being a leader on data services, running projects for and with our clients, we strive to be the best-in-class by delivering high quality, advanced data solutions to help our clients become strong and leading companies.
Valcon combines all we have to offer – Consulting, Data and Technology – in projects. We strive to be a long-term full service partner implementing robust solutions and increasing value for our clients.
Valcon is the benchmark for modern data solutions.
Our Data Practice has 5 capabilities:
- Data Governance
- Data Management
- Data Platforms
- Data Analysis
Responsibilities
- Design, develop, and maintain scalable and reliable data pipelines using AWS cloud services.
- Build data integration solutions using tools such as AWS Glue, Lambda, Step Functions, and more.
- Work with structured and unstructured data, ensuring high data quality and governance.
- Collaborate with data scientists, architects, and business stakeholders to understand data needs and translate them into robust technical solutions.
- Optimise data pipelines for performance and cost efficiency.
- Implement best practices in data engineering, security, and DevOps (e.g., CI/CD, infrastructure as code).
- Contribute to the continuous improvement of our data engineering standards and methodologies
Experience
- Proven experience as a Data Engineer with a strong focus on AWS cloud technologies
- Proficiency in AWS services such as S3, Glue, Redshift, Lambda, Athena, EMR, and DynamoDB.
- Strong programming skills in Python and SQL
- Experience with data modeling, ETL processes, and data warehousing concepts
- Knowledge of infrastructure-as-code tools (e.g., Terraform or CloudFormation) and CI/CD pipelines
- Familiarity with DevOps practices and containerisation tools (e.g., Docker).
- Excellent problem-solving skills and ability to work in fast-paced, agile project environments
- Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
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AWS Data Engineer employer: Valcon A/S
Contact Detail:
Valcon A/S Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current Valcon employees on LinkedIn. A personal touch can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects or any data pipelines you've built. This gives you a chance to demonstrate your expertise and passion for data engineering beyond just your CV.
✨Tip Number 3
Prepare for the technical interview by brushing up on your AWS services knowledge and coding skills. Practice common data engineering problems and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Valcon team.
We think you need these skills to ace AWS Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AWS Data Engineer role. Highlight your experience with AWS services and data engineering practices. We want to see how your skills align with what we do at Valcon!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or optimising data solutions, we love to see real-world examples of your work.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Valcon A/S
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS services like S3, Glue, and Redshift. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Pipeline Skills
Prepare to talk about your experience designing and maintaining data pipelines. Have specific examples ready that demonstrate your ability to optimise for performance and cost efficiency, as this is crucial for the role.
✨Communicate Like a Pro
Since you'll be collaborating with various stakeholders, practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between technical and non-technical team members.
✨Emphasise Continuous Improvement
Valcon values innovation, so be prepared to discuss how you've contributed to improving data engineering standards in your previous roles. Share any best practices you've implemented or new methodologies you've introduced.
