{"id":1504,"date":"2019-02-07T14:56:49","date_gmt":"2019-02-07T14:56:49","guid":{"rendered":"https:\/\/layer-9.mikekubacki.com\/?page_id=2"},"modified":"2023-05-03T14:45:48","modified_gmt":"2023-05-03T14:45:48","slug":"layer-9-home","status":"publish","type":"page","link":"https:\/\/layer-9.michalkubacki.co.uk\/","title":{"rendered":"Layer 9 Home"},"content":{"rendered":"

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Data + Information + Knowledge = Wisdom<\/h1><\/div>

BUILDING SOURCES OF VALUE FOR DATA<\/span> for smarter decisions<\/span>with best practices<\/span>with leading technologies<\/span><\/span><\/span> <\/span><\/h3><\/div>
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Capabilities<\/h2><\/div><\/div><\/div>

<\/i><\/i><\/span>We have based our capabilities on the DIKW pyramid. In essence, the DIKW pyramid represents the transformation of data into valuable insights that can be used to make informed decisions.<\/span><\/a><\/h4><\/div>
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The DIKW pyramid is a model used to explain the relationships between data, information, knowledge, and wisdom. At the base of the pyramid is data, which refers to raw facts and figures that are unprocessed and have no meaning. Information is derived from data when it is organised, structured, and presented in a meaningful way. Knowledge is obtained from information when it is interpreted, analysed, and understood. Finally, wisdom is achieved when knowledge is applied in a way that is appropriate, ethical, and beneficial.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div>

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Data<\/h4><\/span>
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Collecting facts, raw data<\/p>\n<\/div>

Migration to the Cloud<\/b><\/p>\n<\/div>

cloud Data PLATFORMS<\/b><\/p>\n<\/div>

Data Modelling<\/b><\/p>\n<\/div>

FULLY AUTOMATED PIPELINES<\/p>\n<\/div>

Data Lake<\/p>\n<\/div>

Data Lakehouse<\/p>\n<\/div><\/div><\/div>

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Information<\/h4><\/span>
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Who, what, when, where<\/p>\n<\/div>

Apache Spark & Databricks<\/p>\n<\/div>

ETL<\/b><\/p>\n<\/div>

Data engineering – aggregation, validation, custom logic<\/p>\n<\/div>

machine learning<\/b><\/p>\n<\/div>

Data Warehouses<\/p>\n<\/div>

Graph Databases<\/p>\n<\/div>

Monitoring<\/p>\n<\/div><\/div><\/div>

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Knowledge<\/h4><\/span>
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Connected pieces of information helping us to understand how to apply information<\/p>\n<\/div>

Visualisations<\/b><\/p>\n<\/div>

Dashboards<\/b><\/p>\n<\/div>

Knowledge Graph<\/b><\/p>\n<\/div>

DATA CATALOGUE<\/p>\n<\/div>

Web-apps<\/b><\/p>\n<\/div>

Self-service Reporting<\/b><\/p>\n<\/div><\/div><\/div>

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Wisdom<\/h4><\/span>
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Knowledge applied in action, choosing right actions based on data insights<\/p>\n<\/div>

Data Governance<\/b><\/p>\n<\/div>

Data Strategy<\/b><\/p>\n<\/div>

Life Cycle Management<\/b><\/p>\n<\/div>

Data Discoverability<\/b><\/p>\n<\/div>

Data Observability<\/b><\/p>\n<\/div>

Master Data Management<\/b><\/p>\n<\/div>

Data Quality Management<\/b><\/p>\n<\/div>

Connected Insights<\/b><\/p>\n<\/div>

Ontology Management<\/b><\/p>\n<\/div><\/div><\/div><\/div><\/div>

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Companies we work with<\/h2><\/div><\/div><\/div>
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Choose the way we work<\/h2><\/div>

Decide on our method of operation. You need not worry about the hassle of manually selecting exceptional developers from different firms anymore – we have already scouted the top talents, and they are prepared to be a part of your venture. Your only task is to determine the preferred method of cooperation.<\/p>\n<\/div><\/div><\/div>

Dedicated teams<\/h4><\/div>

In contrast to conventional models, our committed team concentrate entirely on your needs. We assist in outlining your objectives and provide suggestions regarding whether shifting to remote work is suitable for you. We establish a customised engineering team equipped with the specific skill-set you require, which seamlessly integrates with your existing in-house engineers.<\/p>\n<\/div><\/div><\/div>

Project-based<\/h4><\/div>

Our team manages all aspects of the project, freeing up your attention to concentrate on the crucial task of growing your company. We don’t just build your project from the ground up, but also excel in performing business analysis, creating technical documentation, prototyping, designing, developing software, and ensuring quality assurance, all while efficiently balancing the cost, timeframe, and scope of the work.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>

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Our approach<\/h2><\/div><\/div><\/div>

<\/i><\/i><\/span>Win-win approach<\/span><\/a><\/h4><\/div>
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We want your project to be successful and built around your need in coordination with industry best practices.<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>Skilled specialists<\/span><\/a><\/h4><\/div>
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Our team of engineers have a vast experience in delivery high profile projects across public and private sector.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>

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\u201cPerfection is achieved, not when there is nothing more to add, but when there is nothing left to take away.\u201d<\/p>\n<\/div>

Antoine de Saint-Exupery<\/p>\n<\/div><\/div><\/div>

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<\/i><\/i><\/span>Microsoft<\/span><\/a><\/h4><\/div>
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We are currently recruiting across a number of roles to support the development of our Microsoft capability.<\/p>\n

Candidates we would like to speak ideally have a particular interest in:<\/p>\n

Developing SQL Data Warehouse and Data Models
Advanced Analytics Analyzing Big Data with Microsoft R
Cloud Data Science with Azure Machine Learning
Designing and Implementing Big Data Analytics Solutions
Perform Data Engineering on Microsoft HD Insight<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>Spark Developer<\/span><\/a><\/h4><\/div>
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We are looking for a Spark developer who knows how to fully exploit the potential of a Spark cluster.<\/p>\n

You will clean, transform, and analyse vast amounts of raw data from various systems using Spark to provide ready-to-use data to feature developers and business analysts.<\/p>\n

This involves both ad-hoc requests as well as data pipelines that are embedded in a production environment.<\/p>\n

Responsibilities;
Create Scala\/Spark jobs for data transformation and aggregation
Produce unit tests for Spark transformations and helper methods
Write Scaladoc-style documentation with all code
Design data processing pipelines
Developing complex data aggregation using SQL and SPARQL
Working with structured, semi-structured and unstructured data
Working with cross-functional teams (Data Science\/Analytical) across multiple databases
Client facing work with key stakeholders at varying organisations<\/p>\n

Skills<\/p>\n

Experience working with Cloud technologies (Azure, AWS)
Scala\/Spark \u2013 Spark query tuning and performance optimisation
SQL database integration (Microsoft, Oracle, Postgres, and\/or MySQL)
Experience working with Cosmos\/DynamoDB\/Neo4j
Experience of distributed systems<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>Other<\/span><\/a><\/h4><\/div>
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If you believe you bring a passion and expertise but a vacancy is not advertised we are happy to have a discussion on what is possible.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div>

Opportunities<\/h2><\/div>

Our working life is based on three fundamental patterns of effort – value to customers, value in learning and value in developing services or practices at Layer 9.<\/p>\n<\/div>

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<\/i><\/i><\/span>Our work life<\/span><\/a><\/h4><\/div>
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You will get opportunities to work on solutions that accelerate learning, capability and value in the work you do.<\/p>\n

Your working life with Layer 9 is based on three areas, our customers, your knowledge and our services or solutions.<\/p>\n

Working with a company with a real passion for turning data into a valuable resource you will work with people with a likeminded attitude and a diverse set of experiences and capabilities.<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>Interview process<\/span><\/a><\/h4><\/div>
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Once submitted we will contact you to request a CV, if you haven\u2019t sent it to us already.<\/p>\n

We follow this interview process;<\/p>\n

A five minute introduction call
Informal meeting at our office or over video
Formal meeting where you will be required to have a technical test or present and discuss subjects related to the role
Follow up meeting or call to discuss outcomes of the interviews
Please email us at careers(a)layer-9.com if you have any questions<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>Interns, Apprentices and Graduates<\/span><\/a><\/h4><\/div>
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We have run several internship programmes since 2018, from four week to four months in length depending on the subject and roles we are working with at the time.<\/p>\n

We have worked with Universities supporting graduates in out reach to businesses and developing projects and supporting final dissertations (Undergraduates and postgraduates)<\/p>\n

Check back here for future programmes.<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>Associates<\/span><\/a><\/h4><\/div>
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We often work with experienced associates where a project or customer would benefit from additional expertise.<\/p>\n

Please contact us if you would like to work with us or have a project or customer you would like Layer 9 to collaborate with.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"100-width.php","meta":{"footnotes":""},"class_list":["post-1504","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/layer-9.michalkubacki.co.uk\/index.php\/wp-json\/wp\/v2\/pages\/1504","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/layer-9.michalkubacki.co.uk\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/layer-9.michalkubacki.co.uk\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/layer-9.michalkubacki.co.uk\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/layer-9.michalkubacki.co.uk\/index.php\/wp-json\/wp\/v2\/comments?post=1504"}],"version-history":[{"count":185,"href":"https:\/\/layer-9.michalkubacki.co.uk\/index.php\/wp-json\/wp\/v2\/pages\/1504\/revisions"}],"predecessor-version":[{"id":1836,"href":"https:\/\/layer-9.michalkubacki.co.uk\/index.php\/wp-json\/wp\/v2\/pages\/1504\/revisions\/1836"}],"wp:attachment":[{"href":"https:\/\/layer-9.michalkubacki.co.uk\/index.php\/wp-json\/wp\/v2\/media?parent=1504"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}