At a Glance
- Tasks: Analyse and organise data, build systems, and collaborate on exciting projects.
- Company: Join Valcon UK, one of Europe's fastest-growing consultancies.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Other info: Be part of a collaborative team that values creativity and problem-solving.
- Why this job: Shape the future of data while working with innovative technologies.
- Qualifications: Experience in Data Engineering, SQL, and cloud tools required.
The predicted salary is between 50000 - 65000 € per year.
Valcon UK are looking to recruit a self‐motivated, highly logical and intellectually curious Data Engineer to join our expanding Data capability in the UK. As a growing business area, the ideal candidate will have the opportunity to help shape the technical and business landscape whilst delivering a variety of challenging projects.
You will be joining one of the fastest growing consultancies in Europe. We are now 1650+ people. We're doers who think. Who can take the client's strategy, turn it into an actionable blueprint and help the client get it done. Who have deep expertise in operationalising strategy, process design, digitisation, data and analytics, automation, technology and change. But because the whole will always be greater than the sum of the parts, we weave these skills together in different ways to respond to new opportunities and challenges.
Responsibilities
- Analyse and organise raw data
- Build data systems and pipelines
- Evaluate business needs and objectives
- Interpret trends and patterns
- Conduct complex data analysis and report on results
- Prepare data for prescriptive and predictive modelling
- Build algorithms and prototypes
- Combine raw information from different sources
- Explore ways to enhance data quality and reliability
- Identify opportunities for data acquisition
- Develop analytical tools and programs
- Collaborate with data scientists and architects on several projects
Experience
- Proven track record of success in Data Engineering teams
- Experience with relational and MPP databases (Snowflake, Redshift, Big Query etc.)
- Experience with data modelling techniques (Kimball/Star, Datavault, etc.)
- Experience with SQL and query design on large, complex datasets
- Experience with cloud and big-data tools and frameworks like Databricks/Spark, Airflow, Snowflake, etc.
- Expertise designing and developing with distributed data processing platforms like Databricks/Spark
- Experience using ELT/ETL tools such as DBT, FiveTran, etc.
- Understanding of Agile Delivery best practice
- Strong problem‐solving and analytical abilities
- Ability to present solutions and limitations to non‐IT business experts
Data Engineer employer: Valcon A/S
Valcon UK is an exceptional employer for Data Engineers, offering a dynamic work environment where innovation and collaboration thrive. With a strong focus on employee growth, you will have the opportunity to shape the future of data capabilities while working alongside industry experts on diverse and challenging projects. Our culture promotes continuous learning and development, ensuring that you can advance your career in one of Europe's fastest-growing consultancies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Valcon UK on LinkedIn. Ask them about their experiences and any tips they might have for landing a role as a Data Engineer. Personal connections can make all the difference!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, algorithms, and any cool data pipelines you've built. This is your chance to demonstrate your expertise in SQL, cloud tools, and data modelling techniques.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Be ready to tackle real-world data challenges and explain your thought process. Valcon UK loves doers who can think critically and present solutions clearly.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the team at Valcon UK. Let's get you that Data Engineer role!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data systems, pipelines, and any relevant tools like SQL or Databricks. We want to see how your skills match what we're looking for!
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 team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Problem-Solving Skills:In your application, don’t forget to highlight your analytical abilities and problem-solving skills. We love candidates who can tackle complex data challenges and present solutions clearly, especially to non-technical folks!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Valcon A/S
✨Know Your Data Tools
Make sure you’re well-versed in the data tools mentioned in the job description, like Snowflake, Redshift, and Databricks. Brush up on your SQL skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data challenges you've faced and how you approached solving them. Valcon UK values analytical abilities, so demonstrating your thought process will impress the interviewers.
✨Understand Business Needs
Familiarise yourself with how data engineering supports business objectives. Be ready to discuss how your work can translate into actionable insights for clients, showing that you can think beyond just the technical aspects.
✨Collaborate and Communicate
Since you'll be working with data scientists and architects, practice explaining technical concepts in simple terms. Highlight any past experiences where you successfully collaborated across teams, as this is crucial for the role.
