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- Tasks: Join us as a Data Engineer to build and maintain data pipelines.
- Company: We're 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 enjoying an inclusive culture and impactful work.
- Qualifications: 2+ years in data engineering, skilled in SQL, and proficient with data warehouse technologies.
- 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 directly.
Data Engineer employer: Searchability®
Contact Detail:
Searchability® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific data warehouse technologies mentioned in the job description, like Amazon Redshift or Google BigQuery. Having hands-on experience or even personal projects showcasing these tools can set you apart during discussions.
✨Tip Number 2
Brush up on your SQL and data modelling skills, as these are essential for the role. Consider working on real-world datasets to demonstrate your ability to create efficient queries and models that solve practical problems.
✨Tip Number 3
Prepare to discuss your experience with ETL tools like Apache Airflow or Talend. Be ready to share specific examples of how you've used these tools to streamline data processes in previous roles.
✨Tip Number 4
Showcase your programming skills in Python or another data-focused language by highlighting relevant projects or contributions. This could include anything from automating data tasks to building data pipelines, which will demonstrate your technical prowess.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data engineering, particularly your skills in SQL, data modeling, and any specific data warehouse technologies mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your background aligns with the company's needs. Mention your experience with ETL tools and programming languages like Python.
Showcase Relevant Projects: If you have worked on specific projects related to data pipelines or architectures, include these in your application. Detail your role and the technologies used to demonstrate your hands-on experience.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data management 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.
✨Understand Data Governance and Security
Familiarise yourself with best practices in data governance and security. Be ready to discuss how you ensure compliance and protect data integrity in your previous roles.
✨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 understand how you can contribute to their data-driven initiatives.
