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- Tasks: Join us as a Data Engineer to build and maintain scalable data pipelines.
- Company: Be part of a leading Software Development company in the North West.
- Benefits: Enjoy private medical insurance, hybrid working, and a tech loan scheme.
- Why this job: Shape our data infrastructure while thriving in an inclusive culture.
- Qualifications: 2+ years in data engineering, skilled in SQL and data warehousing.
- Other info: Apply online or contact Chelsea Hackett for more details.
The predicted salary is between 43200 - 72000 £ per year.
Opportunity for a Data Engineer to join a market leading Software Development company in the North West. Salary up to £60,000 + fantastic benefits including our Inclusive working culture, Private Medical Insurance and Tech Loan Scheme.
WHAT WILL YOU BE DOING?
We’re looking for a skilled Data Engineer to help build and maintain robust, scalable data pipelines and architectures that power our data-driven initiatives. In this role, you'll play a key part in shaping our data infrastructure to meet evolving business needs. The ideal candidate will have practical experience with data warehouse solutions and a solid grasp of key data management disciplines, including data integration, governance, and security.
OUR BENEFITS:
- Options to buy additional holidays
- Private medical insurance
- Tech scheme loan
- Hybrid working
- Employee assistance programme
- Life insurance
- And More..
DATA ENGINEER – ESSENTIAL SKILLS
- Minimum of 2 years of experience in a commercial data engineering or related role
- Skilled in SQL and data modeling
- Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake)
- Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt
- Strong programming ability in Python or another data-focused language
- Knowledgeable about data management best practices, including governance, security, and compliance standards
- Familiar with cloud platforms and environments for data processing
TO BE CONSIDERED…
Please either apply by clicking online or emailing me directly. By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.
Contact Detail:
Searchability® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with data warehouse technologies like Amazon Redshift or Google BigQuery. Highlight specific projects where you've implemented these tools, as this will demonstrate your practical skills to us.
✨Tip Number 2
Familiarise yourself with the latest trends in data management best practices, especially around governance and security. Being able to discuss these topics confidently during an interview can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with ETL tools like Apache Airflow or Talend. We love to hear about real-world applications, so think of examples where you've successfully built or maintained data pipelines.
✨Tip Number 4
Brush up on your SQL and data modelling skills, as these are essential for the role. Consider doing some practice problems or projects that allow you to demonstrate your proficiency in these areas during the interview.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly your skills in SQL, data modeling, and any relevant data warehouse technologies. Use specific examples to demonstrate your hands-on experience with ETL tools and frameworks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your skills align with the company's needs. Mention your familiarity with cloud platforms and your understanding of data management best practices, as these are essential for the role.
Showcase Relevant Projects: If you have worked on specific projects that involved building data pipelines or managing data architectures, include these in your application. Detail your role, the technologies used, and the impact of your work on the project outcomes.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at Searchability®
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, data modelling, and the specific data warehouse technologies mentioned in the job description. Bring examples of projects where you've successfully implemented these skills.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills, especially related to data integration and ETL processes. Think of scenarios where you overcame challenges in data management and be ready to explain your thought process.
✨Familiarise Yourself with the Company’s Data Needs
Research the company’s current data initiatives and understand their business model. This will help you tailor your answers to show how your skills can directly benefit their data-driven goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data infrastructure and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career aspirations.
