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  • London
  • £40,000 - £60,000 per annum
    • Permanent
  • 07 Mar 2020

DATA ENGINEER £40,000- 60,000 + BONUS + COMPETITIVE BONUS

CENTRAL LONDON

Are you looking to join one of the largest retailers, with one of the most visited websites in the UK as a Data Engineer where you will be working on huge data sets in a serverless environment? You will be using the latest technology solutions and have the opportunity to make a real impact within your squad due to a highly collaborative culture.

THE COMPANY:

As one of the largest retailers in the UK with multiple sub-brands you will be working in a data rich environment across a wide variety of projects. You will help deliver solutions to millions of customers across the UK and provide real value both to customers and stakeholders within the business.

THE ROLE:

You will be joining a team of highly experienced and passionate data engineers and architects to undertake data transformation and solution development. You will be working with a wide range of tools across a mix of Big Data, Cloud and open source platforms.

In specific, you can expect to be involved in the following:

  • Use technology such as Spark, Kafka and SQS to build large scale real time and batch data pipelines.
  • Help implement cloud technologies such as AWS, Azure or GCP.
  • Program in at least one of the following languages - Java, Scala or Python.
  • Work as part of an Agile squad to deliver solutions in a flexible manner.

YOUR SKILLS AND EXPERIENCE:

The successful Data Engineer will have the following skills and experience:

  • Proven experience in data development in a big data/ Hadoop and cloud data warehouse using SQL or SQL based ETL capabilities.
  • Have a deep understanding of the processes, skills and technologies which are needed to deliver complex development solutions for a business.
  • Understand and have experience working with a variety of delivery methods, such as Agile, Waterfall and Scrum.
  • Experience developing in the cloud with AWS or Snowflake.
  • Understand the process of developing data stores and data warehouses and have hands on experience in doing so in a previous role.

THE BENEFITS:

  • Work in one of the most data rich businesses in the UK.
  • Competitive bonus.
  • Discount across brands.
  • Competitive benefits.

HOW TO APPLY:

Please register your interest by sending your CV to Lillie via the Apply link on this page.

  • London
  • £40,000 - £60,000 per annum
    • Permanent
  • 07 Mar 2020

DATA ENGINEER £40,000- 60,000 + BONUS + COMPETITIVE BONUS

CENTRAL LONDON

Are you looking to join one of the largest retailers, with one of the most visited websites in the UK as a Data Engineer where you will be working on huge data sets in a serverless environment? You will be using the latest technology solutions and have the opportunity to make a real impact within your squad due to a highly collaborative culture.

THE COMPANY:

As one of the largest retailers in the UK with multiple sub-brands you will be working in a data rich environment across a wide variety of projects. You will help deliver solutions to millions of customers across the UK and provide real value both to customers and stakeholders within the business.

THE ROLE:

You will be joining a team of highly experienced and passionate data engineers and architects to undertake data transformation and solution development. You will be working with a wide range of tools across a mix of Big Data, Cloud and open source platforms.

In specific, you can expect to be involved in the following:

  • Use technology such as Spark, Kafka and SQS to build large scale real time and batch data pipelines.
  • Help implement cloud technologies such as AWS, Azure or GCP.
  • Program in at least one of the following languages - Java, Scala or Python.
  • Work as part of an Agile squad to deliver solutions in a flexible manner.

YOUR SKILLS AND EXPERIENCE:

The successful Data Engineer will have the following skills and experience:

  • Proven experience in data development in a big data/ Hadoop and cloud data warehouse using SQL or SQL based ETL capabilities.
  • Have a deep understanding of the processes, skills and technologies which are needed to deliver complex development solutions for a business.
  • Understand and have experience working with a variety of delivery methods, such as Agile, Waterfall and Scrum.
  • Experience developing in the cloud with AWS or Snowflake.
  • Understand the process of developing data stores and data warehouses and have hands on experience in doing so in a previous role.

THE BENEFITS:

  • Work in one of the most data rich businesses in the UK.
  • Competitive bonus.
  • Discount across brands.
  • Competitive benefits.

HOW TO APPLY:

Please register your interest by sending your CV to Lillie via the Apply link on this page.

  • London
  • £70,000 - £90,000 per annum
    • Permanent
  • 07 Mar 2020

Senior Scala Data Engineer

London

Up to £90,000 + package

This role is for a Senior Data Engineer to build a data platform using Scala, Spark, AWS and Kafka. You will be in responsible for the design and development of an enterprise data platform.

The Company

This company were formed in 2006 and were built to disrupt two markets - the insurance industry and the comparison industry. Since being formed, they have always been cutting edge with data. They were on of the first adopters of a Cloudera Hadoop platform, being moving to a scala/spark architecture and have since moved to AWS and Kafka.

The Role

As the Senior Data Engineer, you will:

  • Lead the development of the next gen data platform.
  • Play a key role in the development of the core data platform, mainly using scala.
  • Take an active role in the team's engineering culture and quality assurance - eg using TDD, code reviews, paired programming etc.

Require Skills & Experience

As the Senior Data Engineer, you will have:

  • Strong experience in Data Engineering
  • Experience in Scala, Spark, Python, AWS platform
  • Have a growth mindset
  • Thrives in a fast-paced digital environment
  • Customer and quality focused (Agile, CI/CD and TDD/BDD approach)
  • Active learner, keeps up to date with industry knowledge and keen to learn new languages and tools
  • Experience leading other Data Engineers

KEYWORDS

Scala, AWS, Spark, Kafka, Kinesis, TDD

  • London
  • £70,000 - £90,000 per annum
    • Permanent
  • 07 Mar 2020

Senior Scala Data Engineer

London

Up to £90,000 + package

This role is for a Senior Data Engineer to build a data platform using Scala, Spark, AWS and Kafka. You will be in responsible for the design and development of an enterprise data platform.

The Company

This company were formed in 2006 and were built to disrupt two markets - the insurance industry and the comparison industry. Since being formed, they have always been cutting edge with data. They were on of the first adopters of a Cloudera Hadoop platform, being moving to a scala/spark architecture and have since moved to AWS and Kafka.

The Role

As the Senior Data Engineer, you will:

  • Lead the development of the next gen data platform.
  • Play a key role in the development of the core data platform, mainly using scala.
  • Take an active role in the team's engineering culture and quality assurance - eg using TDD, code reviews, paired programming etc.

Require Skills & Experience

As the Senior Data Engineer, you will have:

  • Strong experience in Data Engineering
  • Experience in Scala, Spark, Python, AWS platform
  • Have a growth mindset
  • Thrives in a fast-paced digital environment
  • Customer and quality focused (Agile, CI/CD and TDD/BDD approach)
  • Active learner, keeps up to date with industry knowledge and keen to learn new languages and tools
  • Experience leading other Data Engineers

KEYWORDS

Scala, AWS, Spark, Kafka, Kinesis, TDD

  • London
  • £90,000 - £110,000 per annum
    • Permanent
  • 07 Mar 2020

Tech Lead - Scala Data Engineering

London

Up to £110,000 + package

This role is for a Technical Lead to lead a data platform and team using Scala, Spark, AWS and Kafka. You will be in responsible for the design and architecture of an enterprise data platform.

The Company

This company were formed in 2006 and were built to disrupt two markets - the insurance industry and the comparison industry. Since being formed, they have always been cutting edge with data. They were on of the first adopters of a Cloudera Hadoop platform, being moving to a scala/spark architecture and have since moved to AWS and Kafka.

The Role

As the Technical Lead, you will:

  • Lead architectural discussions and technical decision making.
  • Play a key role in the development of the core data platform, mainly using scala.
  • Take an active role in the team's engineering culture and quality assurance - eg using TDD, code reviews, paired programming etc.

Require Skills & Experience

As the Technical Lead, you will have:

  • Strong experience in Data Engineering
  • Experience in Scala, Spark, Python, AWS platform
  • Have a growth mindset
  • Thrives in a fast-paced digital environment
  • Customer and quality focused (Agile, CI/CD and TDD/BDD approach)
  • Active learner, keeps up to date with industry knowledge and keen to learn new languages and tools
  • Experience leading other Data Engineers

KEYWORDS

Scala, AWS, Spark, Kafka, Kinesis, TDD

  • London
  • £90,000 - £110,000 per annum
    • Permanent
  • 07 Mar 2020

Tech Lead - Scala Data Engineering

London

Up to £110,000 + package

This role is for a Technical Lead to lead a data platform and team using Scala, Spark, AWS and Kafka. You will be in responsible for the design and architecture of an enterprise data platform.

The Company

This company were formed in 2006 and were built to disrupt two markets - the insurance industry and the comparison industry. Since being formed, they have always been cutting edge with data. They were on of the first adopters of a Cloudera Hadoop platform, being moving to a scala/spark architecture and have since moved to AWS and Kafka.

The Role

As the Technical Lead, you will:

  • Lead architectural discussions and technical decision making.
  • Play a key role in the development of the core data platform, mainly using scala.
  • Take an active role in the team's engineering culture and quality assurance - eg using TDD, code reviews, paired programming etc.

Require Skills & Experience

As the Technical Lead, you will have:

  • Strong experience in Data Engineering
  • Experience in Scala, Spark, Python, AWS platform
  • Have a growth mindset
  • Thrives in a fast-paced digital environment
  • Customer and quality focused (Agile, CI/CD and TDD/BDD approach)
  • Active learner, keeps up to date with industry knowledge and keen to learn new languages and tools
  • Experience leading other Data Engineers

KEYWORDS

Scala, AWS, Spark, Kafka, Kinesis, TDD

  • Leeds, West Yorkshire
  • £45,000 - £65,000/annum
    • Permanent
  • 06 Mar 2020

This is a client facing role, focused on helping clients solve operational problems through the use of data and analytics.

The role will be responsible for building analytical models to help solve the client challenges. The ability to deal with ambiguity is a critical part of the daily tasks, alongside helping the client and internal team focus on specific problem statements and use cases.

Within the wider team, the role is expected to offer some leadership on technical choices and application of machine learning and AI.

Whilst the role is specified as a Data Scientist, it is expected that individuals are capable (and happy) to apply themselves to a range of tasks.

Key Responsibilities:

·Building analytical models and ability to assess ML/AI features to generate the best outcome for the client

·Develop outputs (graphs, visuals, reports) into useable business applications

·Develop software tools/applications

·Translate complex analytical outputs into business outcomes that can be used to drive insight and decision making

·Providing ‘technical’ leadership both internally and externally

·Can create and support the necessary documentation for both software application development or project reports

·Where necessary, is able to utilise commercial off the shelf (COTS) products, e.g. PowerBI, Qlik, Tableau, etc.

·Ability to work with data tools such as Python, Scala, Spark, and larger “Big Data” software products such as Terradata, Oracle, etc.

·Provide support and mentoring to junior team members where required

·National/International travel may be required

·May perform other duties as assigned

Key Skills:

·Proficient in software development; specifically with languages such as .Net, .NetCore, Java

·Proficient in data science tools such as Python, R, etc

·Able to work with big data platforms such as Spark, Cassandra, Hadoop, etc 

·Experience of visualisation tools, such as C#, JavaScript, D3

·Degree or higher in from an accredited institution 

·Minimum of 3 years of experience in a client facing role

·Minimum 5 years of experience in a data science / data analytics role

  • Leeds, West Yorkshire
  • £45,000 - £65,000/annum
    • Permanent
  • 06 Mar 2020

This is a client facing role, focused on helping clients solve operational problems through the use of data and analytics.

The role will be responsible for building analytical models to help solve the client challenges. The ability to deal with ambiguity is a critical part of the daily tasks, alongside helping the client and internal team focus on specific problem statements and use cases.

Within the wider team, the role is expected to offer some leadership on technical choices and application of machine learning and AI.

Whilst the role is specified as a Data Scientist, it is expected that individuals are capable (and happy) to apply themselves to a range of tasks.

Key Responsibilities:

·Building analytical models and ability to assess ML/AI features to generate the best outcome for the client

·Develop outputs (graphs, visuals, reports) into useable business applications

·Develop software tools/applications

·Translate complex analytical outputs into business outcomes that can be used to drive insight and decision making

·Providing ‘technical’ leadership both internally and externally

·Can create and support the necessary documentation for both software application development or project reports

·Where necessary, is able to utilise commercial off the shelf (COTS) products, e.g. PowerBI, Qlik, Tableau, etc.

·Ability to work with data tools such as Python, Scala, Spark, and larger “Big Data” software products such as Terradata, Oracle, etc.

·Provide support and mentoring to junior team members where required

·National/International travel may be required

·May perform other duties as assigned

Key Skills:

·Proficient in software development; specifically with languages such as .Net, .NetCore, Java

·Proficient in data science tools such as Python, R, etc

·Able to work with big data platforms such as Spark, Cassandra, Hadoop, etc 

·Experience of visualisation tools, such as C#, JavaScript, D3

·Degree or higher in from an accredited institution 

·Minimum of 3 years of experience in a client facing role

·Minimum 5 years of experience in a data science / data analytics role

  • Cheshire
  • £40,000 - £52,000 per annum
    • Permanent
  • 06 Mar 2020
Job Title: Python Data Engineer
Business: Life Sciences Business
Location: Cheshire
Salary: £40k-c£50k depending upon experience.
Skillset for the role:
Experienced Python developers who have a lot of experience manipulating data. Database experience required e.g. Postgresql / MySql.

Job Description:

Main duties and responsibilities:
*Develop and support data scientists by building custom data extraction tools
*Integrate solutions into existing data extraction pipelines
*Working alongside data scientists to help package the models/algorithms into production ready software
*Working proactively within a solutions driven team to collaborators
*Maintain excellent work records

Skillset required:
Essential:
Experienced Python developers who have a lot of experience manipulating data. Database experience required e.g. Postgresql / MySql.
Experience in Linux.
Desirable
Big data technology e.g. Hadoop / Spark is desirable rather than essential
  • Cheshire
  • £40,000 - £52,000 per annum
    • Permanent
  • 06 Mar 2020
Job Title: Python Data Engineer
Business: Life Sciences Business
Location: Cheshire
Salary: £40k-c£50k depending upon experience.
Skillset for the role:
Experienced Python developers who have a lot of experience manipulating data. Database experience required e.g. Postgresql / MySql.

Job Description:

Main duties and responsibilities:
*Develop and support data scientists by building custom data extraction tools
*Integrate solutions into existing data extraction pipelines
*Working alongside data scientists to help package the models/algorithms into production ready software
*Working proactively within a solutions driven team to collaborators
*Maintain excellent work records

Skillset required:
Essential:
Experienced Python developers who have a lot of experience manipulating data. Database experience required e.g. Postgresql / MySql.
Experience in Linux.
Desirable
Big data technology e.g. Hadoop / Spark is desirable rather than essential