I am engaged with a leading organisation in the Insurance space who are looking to recruit experienced Data Engineers into their growing 'Cloud & Data' function, based out of their HQ in London (5 minutes walk from the Gherkin).

The organisation are going through a huge recruitment drive in 2020, focusing on improving the way they utilise data and you'll be pleased to know that unlike a lot of non-tech companies, they view technology as an enabler rather than a blocker.

The roles in question are focused primarily on the design and development of a strategic analytical platform (AWS) to enable integration, analysis and insight of a variety of data sets, as well as the development of data and analytics solutions for machine learning and data visualisation. Moreover, you will be expected to develop and manage relationships across data, technology and business functions (think stakeholder management), challenging existing paradigms in a constructive manner that demonstrate and promote the value of a mature data analytics capability.

Fundamentally, you will be given the opportunity to drive a data-first mentality within the organisation, a unique and rewarding challenge that is usually quite rare to find in established organisation such as this one.

In terms of their expectations… if you can demonstrate some of the below skills then you stand a good chance of being shortlisted to the interview stage:

• Excellent understanding of Data Architecture, including both on-premise and via the AWS Cloud.
• Strong experience with Data Modelling and Data Analysis, including the ability to query, prepare and analyse Data sets.
• Proven commercial experience with both SQL and NoSQL databases.
• Skilled in software engineering, with experience in some (not necessarily all) of the following programming languages: Python, R, Java, Scala.
• Familiarity with Linux/UNIX and tools including Git and SVN.
• Good understanding of Data Science models and Data Modelling in general (e.g. Star Schema, Kimball).
• Some commercial experience with technologies in the Big Data space (e.g. Cassandra, Spark, Kafka, Hadoop, Kibana etc.).

In return, you will get the opportunity to work on cutting-edge projects in an Agile environment.

Moreover, I have personally worked with these guys for years and they have an excellent company culture, focusing on tailored personal development, genuine career progression and flexibility, whether it be home working opportunities or simply flexible working hours. They also offer a generous bonus/benefits package as well as the chance to get huge discounts on car, travel and home insurance.

So if you like the sound of the role and would like to find out more then please contact me via the following:

• Mobile:
• Office Line:
• Email:
• LinkedIn: 'Liam Haghighat'

Anything discussed will remain completely confidential and fully compliant with GDPR.

I am engaged with a leading organisation in the Insurance space who are looking to recruit experienced Data Engineers into their growing 'Cloud & Data' function, based out of their HQ in London (5 minutes walk from the Gherkin).

The organisation are going through a huge recruitment drive in 2020, focusing on improving the way they utilise data and you'll be pleased to know that unlike a lot of non-tech companies, they view technology as an enabler rather than a blocker.

The roles in question are focused primarily on the design and development of a strategic analytical platform (AWS) to enable integration, analysis and insight of a variety of data sets, as well as the development of data and analytics solutions for machine learning and data visualisation. Moreover, you will be expected to develop and manage relationships across data, technology and business functions (think stakeholder management), challenging existing paradigms in a constructive manner that demonstrate and promote the value of a mature data analytics capability.

Fundamentally, you will be given the opportunity to drive a data-first mentality within the organisation, a unique and rewarding challenge that is usually quite rare to find in established organisation such as this one.

In terms of their expectations… if you can demonstrate some of the below skills then you stand a good chance of being shortlisted to the interview stage:

• Excellent understanding of Data Architecture, including both on-premise and via the AWS Cloud.
• Strong experience with Data Modelling and Data Analysis, including the ability to query, prepare and analyse Data sets.
• Proven commercial experience with both SQL and NoSQL databases.
• Skilled in software engineering, with experience in some (not necessarily all) of the following programming languages: Python, R, Java, Scala.
• Familiarity with Linux/UNIX and tools including Git and SVN.
• Good understanding of Data Science models and Data Modelling in general (e.g. Star Schema, Kimball).
• Some commercial experience with technologies in the Big Data space (e.g. Cassandra, Spark, Kafka, Hadoop, Kibana etc.).

In return, you will get the opportunity to work on cutting-edge projects in an Agile environment.

Moreover, I have personally worked with these guys for years and they have an excellent company culture, focusing on tailored personal development, genuine career progression and flexibility, whether it be home working opportunities or simply flexible working hours. They also offer a generous bonus/benefits package as well as the chance to get huge discounts on car, travel and home insurance.

So if you like the sound of the role and would like to find out more then please contact me via the following:

• Mobile:
• Office Line:
• Email:
• LinkedIn: 'Liam Haghighat'

Anything discussed will remain completely confidential and fully compliant with GDPR.

Global Manufacturer require a Data Engineer to work with developers, database architects / data scientists on strategic data initiatives. You will be responsible for expanding and optimizing data and pipeline architecture, as well as data flow/collection for cross functional teams. Uou will be an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

Client Details

Global Manufacturer / Distributor

Description

Global Manufacturer are looking for a Data Engineer to work with software developers, database architects, data analysts and data scientists on strategic data initiatives. The Data Engineer will be responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

As Data Engineer you will be responsible for:

• Create and maintain optimal data pipeline architecture,

• Assemble large, complex data sets that meet functional / non-functional business requirements.

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL/Non-SQL and Azure 'big data' technologies

• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition

• operational efficiency and other key business performance metrics

• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs

• Keep our data separated and secure across national boundaries through multiple data centres and Azure regions

• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

• Work with data and analytics experts to strive for greater functionality in our data systems.

• For developing, constructing, maintenance and testing of data architectures, such as databases and large-scale processing systems

• Clean, aggregate, and organize data from disparate sources and transfer it to data storage for analysis. Making sure the companies data technology is operating at its peak results in massive improvements to performance, cost, or both

• Owning the stability of new products designed, including the on-going robustness, resilience and stability of these products

• Building and maintaining custom ingestion pipelines

Experienced using the following software/tools:

• Big data tools: Hadoop, Spark, Kafka, etc.
• Relational SQL and NoSQL databases, including Postgres and Cassandra
• Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc
• AWS cloud services: EC2, EMR, RDS, Redshift
• Stream-processing systems: Storm, Spark-Streaming
• Object-oriented/object function scripting languages: Python, Java, C++, Scala
• Data Integration / Archiving / Relational Databases and Data Warehousing
• MS SQL, Logic Apps, Function Apps, SSIS, SSRS
• Microsoft Azure DevOps
• Data Visualisation

Profile

• Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing 'big data' data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• Strong project management and organizational skills.

Experienced using the following software/tools:

• Big data tools: Hadoop, Spark, Kafka
• Relational SQL and NoSQL databases, including Postgres and Cassandra
• Data pipeline and workflow management tools: Azkaban, Luigi, Airflow
• AWS cloud services: EC2, EMR, RDS, Redshift
• Stream-processing systems: Storm, Spark-Streaming
• Object-oriented/object function scripting languages: Python, Java, C++, Scala
• Data Integration / Archiving / Relational Databases and Data Warehousing
• MS SQL, Logic Apps, Function Apps, SSIS, SSRS
• Microsoft Azure DevOps
• Data Visualisation

Job Offer

Opportunity to join a rapidly expanding team

Opportunity to work in an advanced analytics function

Global Manufacturer require a Data Engineer to work with developers, database architects / data scientists on strategic data initiatives. You will be responsible for expanding and optimizing data and pipeline architecture, as well as data flow/collection for cross functional teams. Uou will be an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

Client Details

Global Manufacturer / Distributor

Description

Global Manufacturer are looking for a Data Engineer to work with software developers, database architects, data analysts and data scientists on strategic data initiatives. The Data Engineer will be responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

As Data Engineer you will be responsible for:

• Create and maintain optimal data pipeline architecture,

• Assemble large, complex data sets that meet functional / non-functional business requirements.

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL/Non-SQL and Azure 'big data' technologies

• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition

• operational efficiency and other key business performance metrics

• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs

• Keep our data separated and secure across national boundaries through multiple data centres and Azure regions

• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

• Work with data and analytics experts to strive for greater functionality in our data systems.

• For developing, constructing, maintenance and testing of data architectures, such as databases and large-scale processing systems

• Clean, aggregate, and organize data from disparate sources and transfer it to data storage for analysis. Making sure the companies data technology is operating at its peak results in massive improvements to performance, cost, or both

• Owning the stability of new products designed, including the on-going robustness, resilience and stability of these products

• Building and maintaining custom ingestion pipelines

Experienced using the following software/tools:

• Big data tools: Hadoop, Spark, Kafka, etc.
• Relational SQL and NoSQL databases, including Postgres and Cassandra
• Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc
• AWS cloud services: EC2, EMR, RDS, Redshift
• Stream-processing systems: Storm, Spark-Streaming
• Object-oriented/object function scripting languages: Python, Java, C++, Scala
• Data Integration / Archiving / Relational Databases and Data Warehousing
• MS SQL, Logic Apps, Function Apps, SSIS, SSRS
• Microsoft Azure DevOps
• Data Visualisation

Profile

• Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing 'big data' data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• Strong project management and organizational skills.

Experienced using the following software/tools:

• Big data tools: Hadoop, Spark, Kafka
• Relational SQL and NoSQL databases, including Postgres and Cassandra
• Data pipeline and workflow management tools: Azkaban, Luigi, Airflow
• AWS cloud services: EC2, EMR, RDS, Redshift
• Stream-processing systems: Storm, Spark-Streaming
• Object-oriented/object function scripting languages: Python, Java, C++, Scala
• Data Integration / Archiving / Relational Databases and Data Warehousing
• MS SQL, Logic Apps, Function Apps, SSIS, SSRS
• Microsoft Azure DevOps
• Data Visualisation

Job Offer

Opportunity to join a rapidly expanding team

Opportunity to work in an advanced analytics function

Are you a multi skilled Software Engineer?

Interested in working within a Creative Digital Department?

Interested in Remote Work opportunities?

This role requires a skilled developer with an expertise within the Python coding language. Your responsibilities within the company will be varied. However your main tasks will be very hands on developing code, implementing REST API`s, automate and implement CI/CD pipelines as well as advising and guiding partners and facilitating technical decisions to identify and highlight any potential technical risks/ issues.

The ideal candidate should have the following:

- Strong expertise developing code in Python

- REST API knowledge

- Experience within GIT/GitHub or BitBucket

- Experience within CI/CD pipelines

- Experience advising and guiding members

In return, you will benefit from a salary up to £75,000+ Bonus, Remote work opportunities, 25 days Holiday entitlement (not incl bank holidays), Pension contribution, Private medical insurance, internal development, exposure to industry leaders on huge household brand names, access to learning opportunities to build your industry knowledge plus many more.

If you are interested in hearing about this opportunity further please contact me via the below options or submit your CV to be reviewed. Interviews are currently taking place.

Linked In: Jasmin Gibson

Email:

Phone:

Anything discussed will remain 100% confidential and fully compliant with GDPR

Please note my client does not provide any sponsorship

Are you a multi skilled Software Engineer?

Interested in working within a Creative Digital Department?

Interested in Remote Work opportunities?

This role requires a skilled developer with an expertise within the Python coding language. Your responsibilities within the company will be varied. However your main tasks will be very hands on developing code, implementing REST API`s, automate and implement CI/CD pipelines as well as advising and guiding partners and facilitating technical decisions to identify and highlight any potential technical risks/ issues.

The ideal candidate should have the following:

- Strong expertise developing code in Python

- REST API knowledge

- Experience within GIT/GitHub or BitBucket

- Experience within CI/CD pipelines

- Experience advising and guiding members

In return, you will benefit from a salary up to £75,000+ Bonus, Remote work opportunities, 25 days Holiday entitlement (not incl bank holidays), Pension contribution, Private medical insurance, internal development, exposure to industry leaders on huge household brand names, access to learning opportunities to build your industry knowledge plus many more.

If you are interested in hearing about this opportunity further please contact me via the below options or submit your CV to be reviewed. Interviews are currently taking place.

Linked In: Jasmin Gibson

Email:

Phone:

Anything discussed will remain 100% confidential and fully compliant with GDPR

Please note my client does not provide any sponsorship

An online security platform company are looking for Senior Python Developers to work in the cybersecurity space, are you interested?

This company have created a platform that focuses on one of the most important, yet disregarded areas of security software, us. Whilst human mistakes within this is still prominent, little is being done. By using a combination of AI-machine learning and data science alongside psychology sciences, the platform reduces this risk. The software enables organisations to assess and develop employees' methods within cybersecurity.

They are looking for Senior Python Developers to help them as they enter an exciting part of their development. You will be working alongside around 10 other developers, where you will report to the CTO. You will be working on the cybersecurity awareness platform, whilst being based in an office in Canary Wharf. A background in the industry isn't key, however an interest in learning more and entering the field is.

If you have these you could be a great fit:

• Python experience
• Django framework experience

These would be an added bonus:

• B2C experience
• Experience working in a start-up environment

An online security platform company are looking for Senior Python Developers to work in the cybersecurity space, are you interested?

This company have created a platform that focuses on one of the most important, yet disregarded areas of security software, us. Whilst human mistakes within this is still prominent, little is being done. By using a combination of AI-machine learning and data science alongside psychology sciences, the platform reduces this risk. The software enables organisations to assess and develop employees' methods within cybersecurity.

They are looking for Senior Python Developers to help them as they enter an exciting part of their development. You will be working alongside around 10 other developers, where you will report to the CTO. You will be working on the cybersecurity awareness platform, whilst being based in an office in Canary Wharf. A background in the industry isn't key, however an interest in learning more and entering the field is.

If you have these you could be a great fit:

• Python experience
• Django framework experience

These would be an added bonus:

• B2C experience
• Experience working in a start-up environment

Analytics/Data Science Lead - Tech Consultancy - £65K to £75K

We are working with an exciting tech consultancy start up that helps e-commerce businesses with their Amazon eco-system. The business was founded January 2019 by 2 ex Amazon leaders who noticed a gap in the market and have flourished since, now at 15 employees and growing rapidly. Not only is this a fast paced, autonomous and high responsibility role, it's a mature culture with the opportunity to work from home 3 days a week.

The Job

• Analyse complex and large data sets
• Provide clear insight from the data to clients
• Build models and use ML tools to provide business insight
• Understand the range of products and data models and contribute to the roadmap to improve data and insights for clients.

You

• Strong SQL experience is essential
• Experience with AWS or a similar cloud platform
• Experience with BI or data science tools desirable (Python, R etc.)
• Any experience of ML based tools, such as Sagemaker, Google Cloud AI Platform, TensorFlow etc desirable
• Previous experience in advertising or e-commerce

Apply Now

You can apply for this role now by sending us your CV or by calling us now! Don't forget to look at vacancies on our website and register as a candidate.

Simon Plested
Senior Manager of Analytics

Sphere Digital Recruitment currently have a variety of job opportunities across digital so feel free to get in touch with us to find out how we can help you.

Sphere Digital Recruitment are specialists in placing marketing, sales, analytics, product and creative ?talent globally.

Analytics/Data Science Lead - Tech Consultancy - £65K to £75K

We are working with an exciting tech consultancy start up that helps e-commerce businesses with their Amazon eco-system. The business was founded January 2019 by 2 ex Amazon leaders who noticed a gap in the market and have flourished since, now at 15 employees and growing rapidly. Not only is this a fast paced, autonomous and high responsibility role, it's a mature culture with the opportunity to work from home 3 days a week.

The Job

• Analyse complex and large data sets
• Provide clear insight from the data to clients
• Build models and use ML tools to provide business insight
• Understand the range of products and data models and contribute to the roadmap to improve data and insights for clients.

You

• Strong SQL experience is essential
• Experience with AWS or a similar cloud platform
• Experience with BI or data science tools desirable (Python, R etc.)
• Any experience of ML based tools, such as Sagemaker, Google Cloud AI Platform, TensorFlow etc desirable
• Previous experience in advertising or e-commerce

Apply Now

You can apply for this role now by sending us your CV or by calling us now! Don't forget to look at vacancies on our website and register as a candidate.

Simon Plested
Senior Manager of Analytics

Sphere Digital Recruitment currently have a variety of job opportunities across digital so feel free to get in touch with us to find out how we can help you.

Sphere Digital Recruitment are specialists in placing marketing, sales, analytics, product and creative ?talent globally.