Senior Data Engineer | Data Engineering | Python | Scala | Docker | Azure | Kafka | Spark | London | Remote | 1280,000 to 12100,000 Method Resourcing has teamed up with a very exciting and well-known marketing intelligence platform that is looking to hire a Senior Data Engineer who is passionate about creating a culture of quality and owning high-performance data applications that use cutting-edge technology. The data engineering team of our client is at the centre of everything they do and is in charge of a number of important projects for the business. They want an engineer with a lot of experience who knows how to do time-streaming Spark jobs with Scala and has commercial experience with Python. You will come up with good business solutions with the customer in mind. You will also adopt and promote best practises while having an effect on the team and how they make decisions. As a Senior, you'll be expected to help and guide other team members, especially the data science team, by setting a good example. You'll be working in a Scrum environment, with your team, in short time periods called "sprints," to make good engineering. The right Senior Data Engineer will have experience in some of the following areas and be eager to learn and grow in the others: Having business experience building Spark jobs with Scala Experience with Python programming Hadoop, Spark, or S3 can be used to process data. Skills with SQL and NoSQL databases Sure of building complicated ETL workflows Good experience with messaging technologies and the Azure cloud (Kafka, RabbitMQ) Our client is willing to let you do this job from anywhere, but once a month you'll have to meet up with the team in London for a social/team-building day. The client will pay for everything. Senior Data Engineer | Data Engineering | Python | Scala | Docker | Azure | Kafka | Spark | London | Remote| 1280,000 - 12100,000 try out for this job Name, Phone Number, and Email Please agree to the terms and conditions by sending a short cover letter and your CV. return to list of jobs
Senior Data Engineer | Data Engineering | Python | Scala | Docker | Azure | Kafka | Spark | London | Remote | 1280,000 to 12100,000 Method Resourcing has teamed up with a very exciting and well-known marketing intelligence platform that is looking to hire a Senior Data Engineer who is passionate about creating a culture of quality and owning high-performance data applications that use cutting-edge technology.
The data engineering team of our client is at the centre of everything they do and is in charge of a number of important projects for the business.
They want an engineer with a lot of experience who knows how to do time-streaming Spark jobs with Scala and has commercial experience with Python.
You will come up with good business solutions with the customer in mind.
You will also adopt and promote best practises while having an effect on the team and how they make decisions.
As a Senior, you'll be expected to help and guide other team members, especially the data science team, by setting a good example.
You'll be working in a Scrum environment, with your team, in short time periods called "sprints," to make good engineering.The right Senior Data Engineer will have experience in some of the following areas and be eager to learn and grow in the others:
Having business experience building Spark jobs with Scala Experience with Python programming Hadoop, Spark, or S3 can be used to process data.
Skills with SQL and NoSQL databases Sure of building complicated ETL workflows Good experience with messaging technologies and the Azure cloud (Kafka, RabbitMQ) Our client is willing to let you do this job from anywhere, but once a month you'll have to meet up with the team in London for a social/team-building day.
The client will pay for everything.Senior Data Engineer | Data Engineering | Python | Scala | Docker | Azure | Kafka | Spark | London | Remote| 1280,000 - 12100,000 try out for this job Name, Phone Number, and Email Please agree to the terms and conditions by sending a short cover letter and your CV.
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