At a Glance
- Tasks: Design and develop modern data warehouses and build data pipelines for innovative projects.
- Company: Join a dynamic team at a leading data engineering firm with a collaborative culture.
- Benefits: Competitive salary, flexible remote work options, and opportunities for professional growth.
- Other info: Exciting career development in a fast-paced environment with a focus on innovation.
- Why this job: Make an impact by transforming data systems and enhancing analytics capabilities.
- Qualifications: 5+ years in data engineering, strong SQL skills, and proficiency in ETL tools.
The predicted salary is between 60000 - 70000 £ per year.
Experienced Data Engineer required for this remote working / hybrid position based in West London (near Feltham, Hanworth, Hounslow etc). Ideally the successful candidate will be able to work on site once or twice a week, however the client would also consider candidates looking for a remote working role as long as they can be onsite once a month.
The Data Engineer will join a small team and play a key role in developing and managing data integration projects as our client transitions data from legacy systems into modern infrastructure, reporting and analytics.
The key responsibilities for the post include:
- Design and develop a modern data warehouse (Azure or Snowflake), capable of ingesting data from multiple sources and that can store and organise large volumes of data.
- Develop and implement an automated, repeatable data migration process suitable for use over multiple project phases.
- Actively review data quality assessments, addressing any inconsistencies and apply data cleansing and validation techniques.
- Build data pipelines that clean, transform, and aggregate data from disparate sources.
- Stay up-to-date with emerging trends and technologies in data engineering.
To be considered for the post you’ll need most, if not all the following:
- Proven experience (5 years+) in a data engineering or similar role.
- Strong proficiency in SQL and database technologies (e.g. MS SQL, Snowflake).
- Hands-on experience with ETL/ELT tools (Azure Data factory, DBT, AWS Glue, etc).
- Strong proficiency in Power BI and Advanced Analytics.
- Good proficiency in Python for data processing, scripting and automation.
- Any experience with DBT, Airbyte or similar transformation and replication products is advantageous.
- Experience with data migration and mapping complex relational data between business systems.
- Strong analytical skills with the ability to translate business requirements into data engineering solutions.
- Excellent problem-solving abilities, attention to detail and ability to work independently or in a team.
- Effective communication and interpersonal skills to foster relationships with stakeholders at all levels.
- Degree in Computer Science, Information Systems, Data Science or a related field.
Salary will be dependent on experience and likely to be in the region of £60,000 - £70,000. Candidates must be authorised to work in the UK and not require sponsoring either now or in the future.
For further information, please send your CV to Wayne Young at Young’s Employment Services Ltd.
Remote Data Engineer in Plymouth employer: Young's Employment Services Ltd
Join a dynamic and innovative team as a Remote Data Engineer, where you will have the opportunity to work on exciting data integration projects while enjoying the flexibility of remote working. Our company fosters a collaborative work culture that values continuous learning and professional growth, offering employees the chance to enhance their skills in cutting-edge technologies like Azure and Snowflake. With a competitive salary and the option for hybrid working arrangements, this role is perfect for those seeking a meaningful career in data engineering within a supportive environment.
Contact Details:
Young's Employment Services Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Engineer in Plymouth
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a new role. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL, ETL processes, and data pipelines. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you've tackled challenges in data migration and quality assessments. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and experience. Plus, you'll be part of a community that values your expertise in data engineering.
We think you need these skills to ace Remote Data Engineer in Plymouth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, ETL tools, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific examples of data integration projects you've been involved in. Whether it's building data pipelines or working with Azure or Snowflake, let us know how you've made an impact in your previous roles.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences quickly.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Don’t miss out on this opportunity!
How to prepare for a job interview at Young's Employment Services Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like SQL, Azure, and Snowflake. Brush up on your ETL/ELT tools and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data quality issues or complex data migrations. Be specific about the challenges you faced and the solutions you implemented, as this will demonstrate your analytical skills.
✨Communicate Effectively
Since you'll be working closely with stakeholders, practice explaining technical concepts in simple terms. This will show that you can bridge the gap between technical and non-technical team members.
✨Stay Updated on Trends
Research the latest trends in data engineering and be prepared to discuss them. Showing that you're proactive about learning will impress interviewers and highlight your passion for the field.
