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- Tasks: Take ownership of data infrastructure and design ETL pipelines.
- Company: Join a dynamic Martech company focused on turning early-stage customers into leads.
- Benefits: Enjoy a competitive salary up to £50,000 plus fantastic extra benefits.
- Why this job: This role offers real impact, collaboration with stakeholders, and growth opportunities in data engineering.
- Qualifications: Experience with C#, SQL, Python, and Azure/ADF is essential.
- Other info: This position is hybrid, allowing for flexibility in your work environment.
The predicted salary is between 36000 - 60000 £ per year.
DATA ENGINEER (experienced in C#) £45,000-50,000 + BENEFITS LIVERPOOL (Hybrid) This is great company for an ambitious Data Engineer looking to be able to take real ownership and manage and optimise the data infrastructure. THE COMPANY: Working with this Martech company, you will be able to work on finding customers at the early stage of the cycle, and turn them into leads. THE ROLE: A Data Engineer will need to: Work closely with stakeholders across the business Design and implement ETL pipelines Managing data infrastructure YOUR SKILLS AND EXPERIENCE: A successful Data Engineer will have the following skills and experience: Ability and experience interacting with key stakeholders Experience with C# Strong experience in SQL/Python Experience with Azure/ADF Data modelling/warehousing experience THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £45,000 On top of the salary there are some fantastic extra benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page. …
C# Data Engineer employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land C# Data Engineer
✨Tip Number 1
Make sure to highlight your experience with C# in your conversations. When networking or during interviews, share specific projects where you utilized C# effectively, as this will demonstrate your expertise and relevance for the role.
✨Tip Number 2
Familiarize yourself with the company's data infrastructure and tools they use, especially Azure and ADF. This knowledge will not only help you stand out but also allow you to ask insightful questions during your discussions with the team.
✨Tip Number 3
Prepare to discuss your experience with ETL pipelines and data modeling. Be ready to explain how you've designed and implemented these processes in previous roles, as this is a key responsibility of the position.
✨Tip Number 4
Engage with current employees on platforms like LinkedIn to gain insights into the company culture and expectations. This can provide you with valuable information that you can use to tailor your approach during the application process.
We think you need these skills to ace C# Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C#, SQL, and Python. Emphasize any relevant projects or roles where you managed data infrastructure or designed ETL pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that demonstrate your ability to interact with stakeholders and optimize data processes.
Showcase Relevant Skills: Clearly outline your technical skills related to Azure, ADF, and data modeling/warehousing. Use examples from your past work to illustrate your proficiency in these areas.
Follow Application Instructions: Ensure you send your application through the provided link and address it to Molly Bird. Double-check that your documents are formatted correctly and free of errors before submission.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your C# Expertise
Make sure to highlight your experience with C#. Prepare specific examples of projects where you utilized C# effectively, especially in data engineering contexts.
✨Demonstrate Stakeholder Interaction Skills
Be ready to discuss how you've successfully collaborated with stakeholders in previous roles. Share examples that illustrate your ability to understand their needs and translate them into technical solutions.
✨Prepare for Technical Questions
Expect questions related to SQL, Python, and Azure/ADF. Brush up on your knowledge and be prepared to solve problems or explain concepts during the interview.
✨Discuss Data Modelling Experience
Since data modelling and warehousing are key aspects of the role, prepare to talk about your experience in these areas. Highlight any specific methodologies or tools you have used.
