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- Tasks: Design and maintain scalable data pipelines and architectures for analytics.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on cutting-edge technologies.
- Why this job: Make an impact by optimising data systems and enabling business intelligence.
- Qualifications: Degree in Computer Science or related field; strong SQL and programming skills required.
The predicted salary is between 45000 - 60000 £ per year.
This is a remote position.
We are seeking a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data infrastructure and pipelines. In this role, you will be responsible for ensuring reliable data flow, optimizing data systems, and enabling analytics and business intelligence across the organization.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines (ETL/ELT processes)
- Build and optimize data architectures, including data warehouses and data lakes
- Develop and maintain robust data models to support analytics and reporting
- Write efficient SQL queries and manage large datasets
- Ensure data quality, integrity, and security across systems
- Monitor and troubleshoot data pipeline performance issues
- Collaborate with data analysts, data scientists, and software engineers
- Implement data governance and best practices
- Support real-time and batch data processing solutions
Qualifications
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
- Strong proficiency in SQL and database technologies
- Experience with programming languages such as Python, Java, or Scala
- Hands-on experience with data pipeline tools (e.g., Apache Airflow, Kafka)
- Familiarity with cloud platforms (AWS, Azure, Google Cloud)
- Understanding of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
- Strong problem-solving and analytical skills
Preferred Skills
- Experience with big data technologies (e.g., Hadoop, Spark)
- Knowledge of data modeling techniques and schema design
- Familiarity with containerization tools (Docker, Kubernetes)
- Experience with CI/CD pipelines and DevOps practices
- Understanding of data security and compliance standards
Data Engineer in Basingstoke employer: Helic & Co.
Contact Detail:
Helic & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Basingstoke
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend virtual meetups, and connect with other Data Engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, SQL queries, and any projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common Data Engineer interview questions and be ready to discuss your experience with tools like Apache Airflow or cloud platforms. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Data Engineer in Basingstoke
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, data pipelines, and any relevant programming languages like Python or Java. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include any projects you've worked on that demonstrate your ability to design and maintain data infrastructures. Whether it's a personal project or something from a previous job, we love seeing real examples of your work!
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're interested in the role and how your background makes you a great fit. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the position. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Helic & Co.
✨Know Your Data Tools
Make sure you brush up on the data pipeline tools mentioned in the job description, like Apache Airflow and Kafka. Be ready to discuss your hands-on experience with these tools and how you've used them to solve real-world problems.
✨SQL Mastery is Key
Since strong proficiency in SQL is a must-have, practice writing efficient queries before your interview. You might be asked to demonstrate your skills, so having a few examples of complex queries you've written can really impress.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Familiarise Yourself with Cloud Platforms
Since familiarity with cloud platforms like AWS, Azure, or Google Cloud is important, make sure you can talk about your experience with these services. Highlight any projects where you've implemented solutions using these platforms to show your practical knowledge.