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Data Engineer - London - Hybrid - £70,000 - £80,000 + Benefits
Company Overview:
My client is a modern data consultancy that empowers data-driven organisations to realise the full value of its partnered technologies such as Amazon Web Services (AWS), Snowflake and more! They provide consulting and managed services in data engineering, data architecture, analytics, and data science. Renowned for their deep expertise, ease of collaboration, and exceptional culture, they are looking for curious and creative individuals to join their dynamic environment. My clients believes in investing in, and promoting, their own talent and will give you the highest-level support possible to succeed.
Role Overview:
As a Data Engineer, you will design, develop, and maintain data pipelines and architectures. You will be utilising AWS services and tools along with other cutting edge technologies such as Snowflake, Databricks, Kafka and more! Your role will involve optimising data workflows, ensuring data quality, and implementing robust data security measures. You'll collaborate with data scientists and analysts to support data-driven decision-making, utilising Python, SQL, and ETL frameworks. This position offers the opportunity to work with cutting-edge top professionals and contribute to innovative data solutions while growing your skills on the job!
Requirements:
- Good experience as a Data Engineer, with a focus on AWS
- Proficiency in AWS services like S3, Glue, Lambda, EC2 and more
- Snowflake experience as a database and for query processing
- Strong skills programming in Python or PySpark
Nice to have:
- AWS Certifications
Interviews are already underway with limited slots remaining, don't miss out on your opportunity to secure this amazing role!
Get in touch ASAP by contacting me at or on !
Data Engineer, Senior Data Engineer, Developer, AWS, Apache, Python, PySpark, Lambda, Glue, Snowflake, Redshift
