Software Innovation Engineer - Up to £65,000 - London

The company

We represent the interests of numerous mobile operators worldwide, uniting nearly 750 operators with more than 350 companies in the broader mobile ecosystem. Our mission is to further the strategic, commercial, technological and advocacy interests of our members. Every day we work to harness the power of mobile to achieve our industry purpose - Intelligently Connecting Everyone and Everything to a Better Future. We do this by providing strategic direction to our members whilst driving collaborative industry programmes aimed at maintaining operator relevance in the digital world.

The role

We are looking for a software engineer to develop, code, and test technological innovations in financial and digital services whilst working with internal technical development and business teams and our external partners on technical innovation projects to deliver high-quality software MVPs. You will develop sandboxes and cloud test environments for the Lab's technical assets whilst continuously monitoring and optimising. You'll interact with and advise external technical stakeholders, including GSMA members and other industry players participating in project collaborations, and also monitor and research technological trends in financial and digital inclusion.

Requirements

• Strong software engineering experience
• Programming logic and knowledge in 2 languages (Java, JavaScript, PHP or Python)
• Framework experience in Node.JS, Drupal, spring-boot or apache-tomcat
• Desirable knowledge in OpenAPI (Swagger), Postman, SwaggerHub, Docker, Maven, CircleCI, Git, GitFlow, Cloud Environments (AWS, Azure, others)
• Good communication and verbal skills

What we offer

By joining our company, you will be exposed to a fast-paced rapidly evolving environment with industry-changing projects and a stimulating environment designed to enable you to flourish. Some of the benefits include:

• 15%-20% performance based bonus
• Pension, life assurance, medical care and work flexibility
• Free phone and laptop on joining

If interested please contact Daniel Wainwright at FRG Consulting -

Software Innovation Engineer - Up to £65,000 - London

The company

We represent the interests of numerous mobile operators worldwide, uniting nearly 750 operators with more than 350 companies in the broader mobile ecosystem. Our mission is to further the strategic, commercial, technological and advocacy interests of our members. Every day we work to harness the power of mobile to achieve our industry purpose - Intelligently Connecting Everyone and Everything to a Better Future. We do this by providing strategic direction to our members whilst driving collaborative industry programmes aimed at maintaining operator relevance in the digital world.

The role

We are looking for a software engineer to develop, code, and test technological innovations in financial and digital services whilst working with internal technical development and business teams and our external partners on technical innovation projects to deliver high-quality software MVPs. You will develop sandboxes and cloud test environments for the Lab's technical assets whilst continuously monitoring and optimising. You'll interact with and advise external technical stakeholders, including GSMA members and other industry players participating in project collaborations, and also monitor and research technological trends in financial and digital inclusion.

Requirements

• Strong software engineering experience
• Programming logic and knowledge in 2 languages (Java, JavaScript, PHP or Python)
• Framework experience in Node.JS, Drupal, spring-boot or apache-tomcat
• Desirable knowledge in OpenAPI (Swagger), Postman, SwaggerHub, Docker, Maven, CircleCI, Git, GitFlow, Cloud Environments (AWS, Azure, others)
• Good communication and verbal skills

What we offer

By joining our company, you will be exposed to a fast-paced rapidly evolving environment with industry-changing projects and a stimulating environment designed to enable you to flourish. Some of the benefits include:

• 15%-20% performance based bonus
• Pension, life assurance, medical care and work flexibility
• Free phone and laptop on joining

If interested please contact Daniel Wainwright at FRG Consulting -

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

Senior Java Developer - Cyber Security - London

(Tech stack: Java Developer, Cyber Security, J2EE, SQL, XML, SPML, SOAP, REST, HTML, Java Developer, Urgent)

Our client is the world's most respected banking institution. Their story dates back to the 1890s and today they operate from over 10'000 offices in 100 countries. They are about to embark upon one of the largest Java software development projects to take place within the financial services arena for the past 20 years.

You will be working on the design and development of a brand new web based Java banking application that will be the envy of the industry. We are seeking passionate Senior Java Developer with strong experience of Java, J2EE, SQL, XML, SPML, SOAP, REST and HTML. We are keen to hear from Senior Java Developer candidates with expeience in cyber security.

This is a truly amazing opportunity to work for a prestigious banking brand that will do wonders for your CV. They invest heavily in training and career development; top performers are guaranteed a career path into architecture within 12 months.

Location: London

Salary: £60k - £80k + Bonus + Pension + Benefits

(.NET Developer, Java Developer, Cyber Security, J2EE, SQL, XML, SPML, SOAP, REST, HTML, Web Application Development, Angular and Agile, Analyst Programmer, Engineer, Architect, Consultant, Java Developer)

Senior Java Developer - Cyber Security - London

(Tech stack: Java Developer, Cyber Security, J2EE, SQL, XML, SPML, SOAP, REST, HTML, Java Developer, Urgent)

Our client is the world's most respected banking institution. Their story dates back to the 1890s and today they operate from over 10'000 offices in 100 countries. They are about to embark upon one of the largest Java software development projects to take place within the financial services arena for the past 20 years.

You will be working on the design and development of a brand new web based Java banking application that will be the envy of the industry. We are seeking passionate Senior Java Developer with strong experience of Java, J2EE, SQL, XML, SPML, SOAP, REST and HTML. We are keen to hear from Senior Java Developer candidates with expeience in cyber security.

This is a truly amazing opportunity to work for a prestigious banking brand that will do wonders for your CV. They invest heavily in training and career development; top performers are guaranteed a career path into architecture within 12 months.

Location: London

Salary: £60k - £80k + Bonus + Pension + Benefits

(.NET Developer, Java Developer, Cyber Security, J2EE, SQL, XML, SPML, SOAP, REST, HTML, Web Application Development, Angular and Agile, Analyst Programmer, Engineer, Architect, Consultant, Java Developer)