Data Engineer

We are looking fordetail-oriented Data Engineer to join our team foran initial6-month period as Maternity cover.

This role involves collaboration with cross-functional teams including data scientists analystshardwareand software engineers to support our data-driven decision-making processes.

The Data Engineer mustpossessa strong technical aptitude and be hands-on when delivering solutions working comfortably across the full delivery lifecycle. You should have practical experience in designing implementing andoptimizingdataarchitectures with a working knowledge of AI and Machine Learning techniques. The ideal candidate will have a consultative mindset and the ability to engage with users and stakeholders at all levels of the organization to collect andanalyserequirements ensuringoptimalsolution design data pipeline delivery and infrastructure scalability.

We offera fixed-term maternity cover (6 months) witha possibilityto extend.

Your responsibilities include (but are not limited to):

• Act as part of the Predictive Maintenance & Intelligence team providing data infrastructure and engineering support whilst following existing structures in ways of working.

• Develop and implement data collection systems and other strategies thatoptimizestatistical efficiency and data quality.

• Designbuildandmaintaindata pipelines to support machine learning and predictive models thatidentifyavoidable failures.

• Collaborate with Predictive Maintenance & Intelligence team as well as other data-oriented teams at Elekta to deploy models analytics workloads onto the Azure Analytics platform as well as providing data engineeringexpertise.

• Architect and implement scalable data pipelines for data ingestion processing and transformation using Azure Data Factory Databricks and other Azure services.

• Manage andoptimizeSQL Server databases to ensure high performancereliabilityand security.

• Implement andoptimizebig data processing frameworks using Spark.

• Handle large-scale data processing and real-time data streaming.

• Develop and maintain CI/CD pipelines for automated deployment and testing of data solutions.

• Ensure continuous integration and delivery practices are followed.

• Monitormanageandmaintainthe analytics workloads to ensure efficiency and scalability.

• Support the development and maintenance of Business Intelligence (BI) applications including data extraction and transformation.

• Aid in database development and optimization using Microsoft SQL Server T-SQL and SSIS for high-performance data systems.

• Engage in business analysis by working directly with stakeholders at all levels to understand data requirements for developing BI solutions and applications.

• Integrate the companys data with third-party data sources to enrich data models and support analytics needs.

• Enhance data collection procedures to ensure data completeness and data pipeline integrity for downstream analytic systems.

• Ensure the reliabilityintegrityand accuracy of data used for analysis through data validation and cleansing procedures.

• Provide support for ad-hoc analyses ensuring that the infrastructure supports quick and efficient data exploration.

• Participate in concept exploration projects related to advanced development and services offering data engineering support for prototyping and feasibility studies.

• Support the integration of AI and machine learning algorithms by ensuring that data infrastructure is compatible with the needs of development teams.

• Co-design and co-implement domain concepts and algorithms into reusable scalable software modules for future-proofing solutions.

• Prototype data infrastructure for new algorithm applications and investigate their feasibility.

• Stay updated on the latest developments in data engineering trackingnew ideastoolsand methods in the field of data science machinelearningand deep learning., Excellent opportunity to join a successful Energy and Data company as an Asset Analyst. The role is initally on a 12 month fixed term contract basis. The company is in Surrey and are looking for an enthusiastic individual with an analytical mind to join a smaller, friendly..., Description As a Software Dev-Ops & Test Engineer your time will be split between two core responsibilities liaising with your manager to prioritize. You will join our Software team in Crawley in developing new software products to deliver value from our sensor data using..., Location: Manor Royal Crawley United KingdomThales people architect solutions that are relied upon to deliver operational advantage at every decisive moment throughout the mission. Defence and armed forces customers rely on us to deliver the full range of defensive systems..., Job description:Are you looking for a job that will allow you to work on new, and exciting projects with some of the biggest names in retail, banking and hospitality?Well, Barron McCann Ltd is an award-winning, independent IT Service Provider offering a range of IT support...

We continually look for motivated and skilled individuals who are interested in supporting our customers healthcare professionals who use our products to help patients and their communities., * Excellentorganisationalskills with a high degree of accuracy and detail.

• Good communicator with a natural aptitude for dealing with people.

• Work well in a busy team being quick to learn and able to deal with a wide range of issues.

• Strong desiretoindependently

• Relevant experiencedemonstratingbusiness awareness or involvement.

What you bring:

*We encourage you to apply even if youdontmeet every requirementyour unique skills and experiences might be exactly whatwerelooking for!

• Proven experience as a Data Engineer.

• Technicalexpertiseregardingdata models database design development data mining and segmentation techniques.

• Strong knowledge of and experience with reporting packages (BusinessObjectsetc.) databases (SQLetc.) programming (XMLJavascript or ETL frameworks).

• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel SPSSSASetc.).

• Strong experience with machine learning workflows and working knowledge of Azure Data Services (e.g. Data Factory Databricks Synapse etc.).

• Strong analytical skills with the ability to collect organize analyze anddisseminatesignificant amounts of information with attention to detail and accuracy.

• Adept at queries report writing and presenting findings.

• BS in Mathematics Economics Computer Science Information Management or Statistics.

Desirable:

• Experience with complex enterprise architecture.

• Experience of Business Intelligence tools and development (QlikSense)

• Experience with PTCThingWorx(IoT Platform)

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