At a Glance
- Tasks: Build and maintain data pipelines using cutting-edge tools like DBT, Snowflake, and Python.
- Company: Join an award-winning tech consultancy with a global reach and diverse team.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Make a real impact by designing innovative data solutions in a dynamic environment.
- Qualifications: Experience in ETL/ELT processes, cloud platforms, and strong SQL skills required.
The predicted salary is between 60000 - 80000 € per year.
Our client is looking for a number of Senior Data Engineers to join their team on a six month initial contract, working a minimum of two days a week onsite in London. This role is Inside IR35.
Essential skills / knowledge / experience
- ETL/ELT & Data Pipelines: Solid understanding of ETL/ELT processes, along with hands-on experience building and maintaining data pipelines using DBT, Snowflake, Python, SQL, Terraform and Airflow. Experience in designing and implementing data products and solutions on cloud-based architectures.
- Cloud Platforms: Experience working with cloud data warehouses and analytics platforms, such as Snowflake, and AWS/Azure.
- GitHub Skills and Experience: Proficiency in using GitHub for version control, code collaboration and managing data engineering projects.
- Data Governance and Compliance: Expertise in implementing data governance frameworks in Alation, including data quality management and compliance with industry regulations.
- Effective Communication and Collaboration: Excellent communication skills for interacting with stakeholders, presenting technical concepts, and collaborating with cross-functional teams.
- SQL Proficiency: Expertise in writing complex SQL queries, query optimization, and database design for analytics.
- Problem-Solving & Analytical Thinking: Ability to think critically and solve complex problems, translating business requirements into actionable insights.
- Languages: Python (primary), SQL, Bash.
- Cloud: Azure, AWS.
- Tools: Airflow, DBT.
- Data: Snowflake, Delta Lake, Redis, Azure Data Lake.
- Infra & Ops: Terraform, GitHub Actions, Azure DevOps, Azure Monitor.
Senior Data Engineer employer: LA International
LA International is an award-winning IT consultancy that offers a dynamic work environment in London, fostering collaboration and innovation among its team members. With a strong focus on employee growth, the company provides opportunities for professional development and encourages diverse perspectives, making it an excellent employer for Senior Data Engineers looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨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 lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ETL/ELT processes, data pipelines, and cloud architectures. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with tools like DBT, Snowflake, and Python, and practice explaining complex concepts in simple terms.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our team.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ETL/ELT processes and the specific tools mentioned in the job description, like DBT and Snowflake. We want to see how your skills align with what our client is looking for!
Showcase Your Projects:Include examples of data pipelines you've built or maintained, especially using Python and SQL. We love seeing real-world applications of your skills, so don’t hold back on the details!
Communicate Clearly:Since effective communication is key, ensure your application reflects your ability to present technical concepts clearly. We appreciate straightforward language that gets your point across without jargon overload.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the easiest way for us to receive your CV and get the ball rolling on your application process.
How to prepare for a job interview at LA International
✨Know Your Tech Inside Out
Make sure you’re well-versed in ETL/ELT processes and the tools mentioned in the job description, like DBT, Snowflake, and Python. Brush up on your SQL skills too, as you'll likely be asked to demonstrate your ability to write complex queries.
✨Showcase Your Cloud Experience
Be prepared to discuss your experience with cloud platforms like AWS and Azure. Have examples ready of how you've designed and implemented data solutions in the cloud, as this will be crucial for the role.
✨Communicate Clearly
Since effective communication is key, practice explaining technical concepts in simple terms. Think about how you can present your past projects and experiences to non-technical stakeholders, as this will show your ability to collaborate across teams.
✨Demonstrate Problem-Solving Skills
Prepare to tackle some real-world problems during the interview. Think through how you would approach translating business requirements into actionable insights, and be ready to share examples of how you've solved complex issues in the past.
