Data Engineer - London - AWS - Up to 70,000 + Benefits
Company Overview:
You will be working within global company who boast offices across the world - from London to Melbourne, Singapore to the US + many more in between! Within this multinational is a multitude of high level business who are all world leaders within their respective fields. The organisation celebrates successes with a positive and supportive working culture - and you will realise this first hand as this organisation take the well being of their employees very seriously, understanding that work-life balance is critical to performance and moral.
This is an exciting opportunity to work with a forward thinking company who offer their employers the chance to work with cutting edge tech, grow their skills with fully-costed training programs, maintain a healthy work-life balance with modern working arrangements - up to 3 days a week from home - as well as a comprehensive benefits package.
Role Overview:
As a Data Engineer, you will play a pivotal role in designing, developing, and maintaining data infrastructure. You will be responsible for building and optimising data pipelines, ensuring the seamless flow of data across various systems. Your expertise in AWS services, Python, and SQL will be crucial in managing and transforming large datasets to support our business needs.
Regarding project specifics in the works are plans to migrate and build out a data platform, making experience with migrations, as well as Snowflake or Databricks highly preferable. As you will be required to collaborate with technical and non-technical stakeholders, your ability to communicate effectively and work in a team-oriented environment will be key to your success in this role.
Requirements:
2.5+ Years Experience in Data Engineering
Experience Working with AWS services
Strong Python and SQL Skills
Good Technical and Non-Technical Stakeholder CommunicationNice to have:
Snowflake, Databricks, or Similar
Interviews are already underway with limited slots remaining, don't miss out on your opportunity to secure this amazing role!
Get in touch by contacting me at or on (phone number removed)!
AWS, Data, Python, SQL, Redshift, S3, Snowflake, Databricks, Data Engineer, Engineering, London, ETL, Ingestion, Glue, Lambda
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