A Tenth Revolution Group Company

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For Permanent in London

Senior Data Engineer - London - AWS - £80,000 + Benefits

England, London, City of London

  • £70,000 to £80,000 GBP
  • Engineer Role
  • Skills: AWS, Data Engineer, Lambda, Glue, Airflow, Redshift, S3, ETL, SQL, Snowflake
  • Seniority: Senior

Job description

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 j.shaw-bollands@nigelfrank.com or on 0191 338 6641!



Data Engineer, Senior Data Engineer, Developer, AWS, Apache, Python, PySpark, Lambda, Glue, Snowflake, Redshift

New

Senior Data Engineer - Snowflake - £85,000 - London - Hybrid

England, London, City of London

  • £85,000 to £85,000 GBP
  • Engineer Role
  • Skills: Data Engineer, Snowflake, Cloud, ETL, Analytics, SQL, Python, AWS, Terraform, DevOps, end-to, end
  • Seniority: Senior

Job description

Senior Data Engineer - Snowflake - £85,000 - London - Hybrid



Company Overview:

My client is a global leader in the insurance industry, serving millions of customers worldwide. With strong financial foundations established over decades, their commitment to utilising innovative solutions and cutting-edge technologies is a key pillar of their recent success. They are also dedicated to ensuring the well-being and happiness of their employees through very flexible hybrid working patterns and a great company culture - over 4 out of 5 employees would recommend working here.



Role Overview:

As a Senior Data Engineer you'll be responsible for building and deploying full solutions from scratch, while maintaining security and data best practices. Duties will include product-based work as well as migration tasks. Due to your seniority you will also be tasked with mentoring junior engineers. You will be joining a close-knit team of 6 Data Engineers, as well as 30 Engineers in the businesses data arm.



Requirements:

* 3+ Years data engineering experience
* Snowflake experience
* Proficiency across an AWS tech stack
* DevOps experience building and deploying using Terraform



Nice to Have:

* DBT
* Data Modelling
* Data Vault
* Apache Airflow



Interviews ongoing don't miss your chance to secure a role working with cutting edge technology while maintaining exceptional work-life balance.



Contact me @ j.shaw-bollands@tenthrevolution.com or on 0191 338 6641.















Data Engineer, Snowflake, Cloud, ETL, Analytics, SQL, Python, AWS, Terraform, DevOps, end-to,end