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- Tasks: Join us as a Data Engineer, working on exciting data projects in a hybrid environment.
- Company: Be part of a leading financial services company in Glasgow, shaping the future of banking.
- Benefits: Enjoy flexible work with 3 days in the office and 2 days remote, plus competitive perks.
- Why this job: This role offers hands-on experience with cutting-edge technologies and impactful data solutions.
- Qualifications: You need banking experience and skills in SQL, Python, and data pipeline development.
- Other info: This position is IR35 compliant, requiring work through an umbrella company.
The predicted salary is between 36000 - 60000 £ per year.
I am recruiting for a Data Engineer to be based in Glasgow 3 days a week, 2 days remote.
The role falls inside IR35 so you will need to work through an umbrella company for the duration of the contract.
You must have several years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc.
You will also have a number of years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines.
ETL process expertise is essential.
Proficiency in working with Snowflake or similar cloud-based data warehousing solutions is also essential.
Experience in data development and solutions in highly complex data environments with large data volumes is also required.
You will be responsible for collaborating with cross-functional teams to understand data requirements, and design efficient, scalable, and reliable ETL processes using Python and Databricks.
You will also develop and deploy ETL jobs that extract data from various sources, transforming them to meet business needs.
Please apply ASAP if this is of interest.
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Data Engineer employer: Access Computer Consulting
Contact Detail:
Access Computer Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as SQL, Python, and data pipeline development. Having hands-on experience or projects that showcase your skills in these areas will give you a significant edge during discussions.
✨Tip Number 2
Highlight any relevant experience you have in the banking or financial services sector. Tailoring your conversation to demonstrate how your background aligns with the industry's needs can make a strong impression on the hiring team.
✨Tip Number 3
Prepare to discuss your experience with complex data environments and large data volumes. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will showcase your problem-solving abilities.
✨Tip Number 4
Since the role involves working in a hybrid environment, be prepared to talk about your experience with both on-premises and cloud solutions. Demonstrating your adaptability and understanding of different data storage options will be crucial.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and tasks associated with the Data Engineer position. Familiarise yourself with the required skills, especially in banking or financial services.
Tailor Your CV: Highlight your relevant experience in Software Engineering, Data Engineering, or Data Analytics projects. Emphasise your SQL/PLSQL skills and any experience with Python libraries like Pandas, NumPy, and PySpark.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses how your background aligns with the job requirements. Mention your experience with data pipelines, data warehousing solutions, and working in hybrid environments.
Check for Compliance: Since the role falls inside IR35, ensure you are prepared to work through an umbrella company. Mention your understanding of this in your application to show you are aware of the requirements.
How to prepare for a job interview at Access Computer Consulting
✨Know Your Data Tools
Make sure you are well-versed in the tools and technologies mentioned in the job description, such as SQL, Python, and libraries like Pandas and PySpark. Be prepared to discuss your experience with these tools and how you've used them in past projects.
✨Demonstrate Problem-Solving Skills
Be ready to showcase your problem-solving abilities, especially in complex data environments. You might be asked to walk through a challenging project you've worked on, so think of specific examples that highlight your analytical skills and creativity.
✨Understand Banking and Financial Services
Since banking and financial services experience is essential, brush up on industry-specific challenges and regulations. Showing that you understand the context in which your data engineering work will take place can set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines, data warehousing, and handling different types of data. Practise explaining your thought process clearly and concisely, as this will demonstrate your expertise and communication skills.
