Total 450 system engineer job vacancies in Information Technology category in D16 Upper East Coast, Bedok, Eastwood, Kew Drive

Your new company

Sussex Community Foundation Trust, the largest provider of community healthcare services in Sussex, is seeking to recruit two Data Engineers to join an established team of Data professionals in Digital Technology, based in Brighton, East Sussex.
Your new role

Working under the remit of the Head of Data Engineering as part of the Digital Directorate, the Data Engineers will be key members of the Data Engineering team working primarily on day to day ETL operations, as well as working with the wider Performance Team and Digital Team to meet the data management needs of the Trust.

As a Data Engineer you will be fundamental in developing and constructing data models for our services data warehousing needs as well as integrating them into systems and business processes to support self-serve reporting, compliance reporting and third-party data integrations.
You will provide specialist advice across a range of IM&T areas e.g. applications, information interpretation, data analysis, information reporting, information governance.

What you'll need to succeed

As an experienced Data professional with proven skills of managing and maintaining a data warehouse within a large organisation, you will have expertise in writing ETL scripts and code and ensuring that the ETL process performs optimally. The role requirement will involve implementing data flows to connect operational systems, data for analytics and business intelligence (BI) systems.

A key responsibility will be to re-engineer manual data flows to enable scaling and repeatable use in an automated way and to support the build of data streaming systems. You should have a thorough understanding of the concepts and principles of data modelling and metadata management, and you will need to be able to design, code and execute test scripts to support ETL processes defined within our platforms.

You should possess strong in-depth knowledge of Database Administration with MSSQL Server and expert knowledge of Microsoft Azure / AWS Platforms (Specifically Cloud Storage, Compute and Databases).

Applicants should have demonstrable experience in the following essential and desirable skills:
Essential:

Python 3.x with pandas, numpy, sqlalchemy, argparse and logging as a minimum
MS SQL Server (2019 and later)

Desirable:

Linux server technologies (Redhat 8+, Ubuntu 22.04+)
Qlik Data Movement Gateway (linux based)
Airflow orchestration across multiple technologies (e.g. powershell, python, t-sql) and server types (windows and linux, plus SQL server databases)
Airbyte data movement, including API driven data loading pipelines to dynamically construct the airbyte flows based on metadata concerning the data sources and destinations
Qlik Data Movement Gateway (linux based)
Qlik Cloud / Qlik Sense Data Architecture certification

What you'll get in return

This role is available for hybrid working and when a hospital office presence is required for technical workshops and other face-to-face purposes, it will include working in Brighton and Hove particularly, and other NHS premises across East and West Sussex. Being close to the sea and the South Downs, with close links to London, it is a vibrant, thriving part of the country in which to work and enjoy that all-important work-life balance through the generous annual leave and flexible working arrangements available. Amongst the unrivalled range of employee benefits includes membership of the renowned and industry respected NHS Pension scheme, and a choice of salary sacrifice discounts to supplement the competitive salary available for this role.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV in word doc format.

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• Responsible for Analyzer System Integration (ASI) business including Service and expanding its business with profits including Financial KPI's.
• Manage entire ASI Project Delivery Organization including Engineering, Service and Gas Chromatography Lab departments.
• Develop remote engineering with utilization of overseas resources and support to develop a business model for low cost, highly competitive projects while positioning for large/mega project executions.
• Close regional collaboration to enhance global Analyzer System Integration/Gas Chromatography business for long term sustainability.
• Support Headquarters in implementing Analyzer System Integration/Gas Chromatography business operations and its services globally.

Requirements:

• Bachelor’s Degree in Engineering (Electrical, Mechanical, Chemical, or related field). Master’s degree or MBA is a plus.
• Minimum 15 years of experience in analyzer system integration, project management, or a related field, with at least 10 years in a leadership role.
• Proficiency in the principles and practices of system integration, as well as knowledge of industry standards.
• Experience in managing cross-functional teams, with a focus on driving high performance and team development.
• Skilled in managing client expectations and maintaining strong client relationships.

By responding to Yokogawa’s advertisement, consent is considered given to Yokogawa to collect the required personal data for the purpose of recruitment with expectation that Yokogawa will protect personal data with security safeguards that are reasonable and appropriate to the sensitivity of the personal data, to protect it from unauthorized access, use or disclosure and complies with applicable regulatory requirements with respect to the retention of personal data.

Job Summary

Our client is seeking a Network Engineer(s) to enhance and maintain the network performance service level to ensure the smooth business operations within the organization. You will be responsible to handle the incident response & investigation, working with vendors and the respective teams to efficiently resolve issues within the agreed Service Level Agreement (SLA).

Mandatory Skill-set

• Diploma or Degree in Computer Science, Engineering, Electronics or Information Technology;
• At least 5 years of working experience in managing IT system network operations and support (24x7), service recovery, problem management, risk mitigation and impact assessment;
• Proven track record with over 5 years of hands-on experience in successfully implementing IT infrastructure projects for LAN and WAN environments;
• Proficient in installing and configuring a wide range of network technologies, including LAN, WAN, VoIP, WiFi, wireless controllers, access points, firewalls, security gateways, VPNs, 802.1x protocol, VLANs, and L2/3 switches;
• Skilled in using monitoring, network diagnostic, and network analytics tools to ensure optimal network performance and troubleshoot issues efficiently;
• Experience in project and vendor management;
• Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical users;
• Strong problem-solving skills and the ability to work independently and collaboratively in a team environment.

Desired Skill-set

• Professional and technical certifications that include CCIE, CCNA, CCDP, CCNP, ITIL, CISSP, AWS Certified Solutions Architect.

Responsibilities

• Lead and manage the network operations, incident handling, maintenance, compliance, and renewal of IT infrastructure systems (Wired/Wireless) to ensure all systems are working in good condition to maintain normal operations;
• Ensure proper project and change management to ensure delivered solutions meet technical, functional, performance and business requirements;
• Responsible to detect signs of abnormality and to report overall system health status to ensure recovery actions, correction actions and preventive measures are in place for every incident reported;
• Be the point of contract to attend to any incident/problem reported and to provide the impact assessments on the outage;
• Work closely with vendors on mitigation measures and assist to resolve the issues and investigation for root cause;
• Maximizing network performance through ongoing monitoring and troubleshooting;
• Ensuring peak network performance through continuous monitoring and effective troubleshooting;
• Scheduling and coordinating network upgrades while investigating network faults;
• Ensuring network equipment is up-to-date with the latest firmware releases;
• Perform system maintenance and deliver regular network status reports to key stakeholders.

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

We are seeking a talented and a motivated Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to understand data requirements, optimize data models, and ensure the reliability and performance of our data systems.

Key Responsibilities:

 Design, develop, and maintain robust data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources (e.g., Database, API, SFTP).

 Build and optimize data models and schemas to support efficient data storage, retrieval, and analysis.

 Implement data integration solutions to consolidate data from disparate systems and sources.

 Work closely with Data Scientists and Analysts to understand their requirements and provide them with clean, reliable, and well-structured data.

 Collaborate with DevOps and Infrastructure teams to deploy and manage data infrastructure in cloud environments (e.g., AWS, Azure).

 Familiar with the concept of data security to ensure the data pipelines are secured and PII (Personally Identifiable Information) data are encrypted.

 Monitor and optimize the performance, scalability, and reliability of data systems to ensure high availability and low latency.

 Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.

 Develop and maintain documentation, standards, and best practices for data engineering processes and technologies.

 Stay current with emerging technologies and trends in data engineering and contribute to the continuous improvement of our data architecture and practices.

 Explore, evaluate, and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements:

 BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.

 Proven experience (3 years) working as a Data Engineer or in a similar role.

 Strong proficiency in programming languages such as Python. Conversant with data structures and algorithm design.

 Hands-on experience with distributed computing frameworks and big data technologies such as Spark, Kafka, etc.

 Proficiency in SQL and experience with relational databases (e.g., Azure SQL DB, AWS Redshift).

 Experience with data modelling, ETL/ELT processes, and data warehousing concepts.

 Familiarity with cloud platforms and services (e.g., AWS S3, AWS Step Functions, AWS Airflow, Azure Data Logic Apps, Azure Blob Storage).

 Experience with setting up SSO using AD and implementing RBAC (Role Based Access Control) for data security.

 Excellent problem-solving skills and attention to detail.

 Effective communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

 Experience with version control systems (e.g., Git) and CI/CD pipelines is a plus.

Description

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.

• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.

• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.

• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.

• Monitor and optimize data workflows for performance, reliability, and scalability.

• Document data processes and ensure best practices in data engineering are followed.

• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.

• Proficiency in Elasticsearch for search and analytics applications.

• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.

• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• Strong SQL skills and experience with relational databases.