Wireless Logic Ltd

About the Company

A new thing, device or asset is connected to our cellular platform every 18 seconds of every day. And today, we have over 14 million IoT subscriptions active in 165 countries, with collaborative partnerships that provide reach into more than 750 mobile networks across the globe.

Our purpose-built IoT connectivity platforms connect (globally and locally) across multiple mobile networks and technologies to give customers a single management window for their assets. It provides the ultimate connectivity, control and security for IoT and M2M applications.

We are entirely customer and market-driven, meeting our 10,000+ customers where they are to help them innovate by providing expert service and the most flexible, resilient and secure connectivity solutions in the market.

From EPOS systems in retail stores, to behaviour monitoring in vehicles and off-grid solar power in remote rural regions of East Africa. We have expertise across multiple sectors and use cases, including agriculture, healthcare, security, transport, utilities and building management. We work with a diverse client base that includes global OEMs, system integrators, solution providers, application developers, blue-chip enterprises and start-ups.

We are headquartered in the UK with local offices in Germany, Netherlands, France, Spain, Denmark, Norway, Austria and China.

We are backed by Montagu Private Equity, one of the world’s leading private equity-backed investors, giving Wireless Logic Group unrivalled financial strength.

For careers information go to https://www.wirelesslogic.com/careers

Listed Jobs

Company Name

Wireless Logic Ltd

Job Title

Junior Data Engineer

Job Description

**Job Title:** Junior Data Engineer **Role Summary:** Support the Data Team in designing, building, and maintaining data pipelines and infrastructure for a high‑growth IoT connectivity provider. Work under the Group Head of Data to ensure data quality, enable analytics, and contribute to the company’s data‑driven strategy. **Expectations:** - Apply solid SQL fundamentals and basic programming skills to real‑world data problems. - Deliver reliable data ingestion, transformation, and delivery solutions on schedule. - Communicate clearly with analysts and stakeholders to translate business needs into technical designs. - Demonstrate initiative in learning Microsoft‑centric data tools, Python, and DevOps practices. - Maintain high accuracy, attention to detail, and ability to work under tight deadlines. **Key Responsibilities:** - Assist in end‑to‑end data engineering tasks: ingestion, ETL/ELT, transformation, and delivery. - Contribute to building scalable pipelines using the MS tech stack (SSIS, T‑SQL, MS SQL Server). - Design, document, and maintain data models and storage solutions; support API development. - Implement monitoring, alerting, and performance‑optimization for data workflows. - Ensure data quality, integrity, and governance across all systems. - Collaborate with business analysts to capture requirements and produce technical specifications. - Document architecture and processes using DevOps tools for transparency and scalability. **Required Skills:** - 4–5 years of experience in an SQL‑focused role (e.g., SQL Server, T‑SQL). - Proficiency with SSIS, MS SQL Server, Power BI, and Python (basic). - Understanding of data modeling, ETL/ELT concepts, and data quality principles. - Familiarity with DevOps practices and version control. - Strong verbal and written communication; ability to convey technical information to non‑technical stakeholders. - High attention to detail, accuracy, and strong organizational/time‑management abilities. - Self‑motivated, enthusiastic, and able to work under pressure to meet deadlines. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline (or equivalent practical experience). - No specific certifications required; willingness to pursue relevant certifications (e.g., Microsoft Certified: Azure Data Engineer Associate) is a plus.

Reading street, United kingdom

On site

Junior

10-11-2025

Company Name

Wireless Logic Ltd

Job Title

Data Engineer

Job Description

**Job Title** Data Engineer **Role Summary** Drive end‑to‑end data engineering activities for a high‑growth IoT connectivity provider. Design, build, and maintain scalable data pipelines and infrastructure using the Microsoft BI stack, ensuring data quality, governance, and optimal performance. Partner with analysts and business stakeholders to translate requirements into robust technical solutions and foster a data‑driven culture across the organization. **Expectations** - Own the full lifecycle of data initiatives: ingestion, transformation, delivery, monitoring, and optimization. - Deliver reliable, high‑quality data assets that empower analytical and business decision‑making. - Maintain strong communication with cross‑functional teams and articulate technical concepts clearly. - Remain proactive in identifying and overcoming delivery bottlenecks under tight deadlines. **Key Responsibilities** - Lead and execute data engineering projects, from architecture design to production deployment. - Build scalable pipelines using SSIS, SQL Server 2019, T‑SQL, and Python, and create robust data models. - Develop and maintain APIs and data services for downstream consumption. - Optimize ETL/ELT processes and database queries for performance and cost. - Implement monitoring, alerting, and documentation (including DevOps practices) to ensure data reliability. - Collaborate with analysts and stakeholders to gather requirements and translate them into technical designs. **Required Skills** - 3–4+ years in data engineering or related roles. - Deep knowledge of the Microsoft BI stack: SSMS, SSDT, SSIS, SSAS, SSRS, SQL Server 2019. - Advanced T‑SQL, database design, and query optimization. - Hands‑on experience with Python for data processing and API development. - Ability to parse and work with JSON, XML, and other data formats. - Familiarity with data governance, quality, and security principles. - Strong communication, organization, and time‑management skills. - Attention to detail and accuracy in data work. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Systems, or a related technical field. - Certifications in Microsoft technologies (e.g., Microsoft Certified: Azure Data Engineer Associate, SSIS/SSRS/SSAS) are highly desirable. ---

Reading, United kingdom

On site

14-11-2025