Wedontjust build technology. We build hope.

In our world billions ofpeoplemillions of cancersdiagnosedeach year. For everyoneitspersonal. Behind every treatment lies a story a family a future. Behind every patient clinic and care providerarereal complexities real needs and a united purpose.Werenotintimidatedwereinspired because every difference from the smallest tumor change to the greatest clinical challenge is a chance to innovate together and advance care.Thatswhywerehere. With you. To set the new standard of care making a meaningful impact on lives for a world of difference.

WhatYoullDo at Elekta

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.

The right stuff

• 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)

• ITIL Foundation Certification or higher

Whatyoullget:

In this role you will work for a higher purpose; hope for everyone dealing with cancer and for everyone regardless ofwhere in the world to have access to the best cancer addition to this Elekta offers a range of benefits.

• Hybrid workoption(youare required towork from the Crawley HQ at least 3 days/week)

• Up to 13 paid vacation days (plus bank holidays)

• Onsite subsidized restaurant offering budget-friendly dining