Data Engineer in Reading

Data Engineer in Reading

Reading Full-Time 30000 - 50000 £ / year (est.) Home office (partial)
Wireless Logic

At a Glance

  • Tasks: Lead data engineering projects and design scalable data pipelines using Microsoft tech.
  • Company: Join a multi-award-winning IoT connectivity leader with a culture of innovation.
  • Benefits: Enjoy 25 days holiday, private medical insurance, and discounted gym memberships.
  • Other info: Flexible hybrid working model and opportunities for career growth.
  • Why this job: Make a real impact in the IoT space and unlock data as a superpower.
  • Qualifications: 4+ years in data engineering and experience with Microsoft tech stack.

The predicted salary is between 30000 - 50000 £ per year.

What we\'re all about:
Any company can tell you about how they are a multi award winning, market leading business and yes, we are both of those things in the world of IoT connectivity! But we\'re more than that. • Our mission? To make IoT management a breeze for any device, anywhere. With over 14 million IoT subscriptions active in 165 countries and direct partnerships with 50 mobile networks, we connect you to more than 750 networks worldwide, delivering unmatched value across the IoT connectivity chain.
Innovation is in our DNA, and we have an insatiable hunger to \'wow\'! While we may not always get it right, our drive to collaborate, innovate, and achieve top-notch customer satisfaction never wavers. We offer industry expertise, stellar service support, and the most flexible, resilient, and secure connectivity solutions on the market. Our expertise spans across various sectors, including industry, agriculture, healthcare, security, transport, utilities, and smart cities.
IoT... a fancy acronym or a secret code?
The Internet of Things (IoT) is like the magical glue that keeps the world connected! • From ordering your favourite takeaway to the ANPR technology that helps you find a parking spot, IoT is everywhere-even if you don\'t realize it. At Wireless Logic, we provide cutting-edge connectivity solutions and technologies to ensure a vast array of devices stay seamlessly connected.
Overview:
Wireless Logic is on the lookout for a skilled, driven, forward thinking Data Engineer to step into our world and take full ownership of all data engineering activities. You will be joining a Data Team at a high growth technology IoT connectivity provider who are driving and shaping a data vision and strategy across the group. This role is pivotal in designing, building, and maintaining scalable data pipelines and infrastructure mainly using the Microsoft technology stack.
Reporting into the Group Head of Data, you will drive the group towards a data rich and data hungry business by capitalising on the strong foundations the data team has built, continuing to build roads that will unlock data as a superpower so that our teams can gain the competitive edge and make informed decisions.
Key Responsibilities:
  • Lead Data Engineering Projects
  • Own the full lifecycle of data engineering tasks from ingestion to transformation and delivery.
  • Architect and implement scalable data pipelines mainly using the Microsoft tech stack.
  • Ensure data quality, integrity, and governance across all systems.
  • Overcome barriers to delivery to support the business.
  • Data Infrastructure & Optimization
  • Design and maintain robust data models and storage solutions mainly using but not limited to SSIS, XML, T-SQL (SSMS) & python.
  • Design, develop, and maintain APIs
  • Optimize performance of ETL/ ELT processes and database queries.
  • Implement monitoring and alerting for data workflows.
  • Collaboration & Stakeholder Engagement
  • Work closely with analysts understand data needs.
  • Translate business requirements into technical solutions.
  • Document data architecture and processes for transparency and scalability using DevOps.
  • Mentorship & Team Leadership
  • Provide technical guidance and support to a junior data engineer who will report directly to you.
Required:
  • 4+ years of experience within data engineering roles
  • Experience with and appreciation for end-to-end Data & Analytics lifecycles.
  • A vision for how data and analytics could help people and teams achieve their outcomes.
  • Excellent verbal and written communication skills.
  • Experience mentoring or managing junior engineers is a plus
  • An eye for the detail and excellent accuracy of work.
  • Self-motivated, enthusiastic, ability to work under pressure and to tight deadlines.
  • Effective organisation and time management skills
  • Tech/Languages currently in place - MS Tech Stack (SSIS, MS SQL Server, Power BI, etc), Python, DevOps.
For UK: Benefits Of Being Part Of The Team:
  • 25 days holiday
  • Buy up to 5 days additional holiday
  • Birthday Day off
  • Enhanced Maternity/Paternity Leave
  • Group Company Pension Scheme
  • Private Medical Insurance
  • Discounted Gym membership at over 3000 Gyms
  • Dental cover
  • Optical cover
  • Company Sick Pay Scheme
  • Access to a variety of online discounts on major retailers
  • Employee assistance program
Ok, I\'m Interested, What\'s Next?
Thank you so much for your interest in Wireless Logic Group, we appreciate the time and emotion that goes into an application.
We will review all applications within five working days and be in touch with those who have been shortlisted to the next stage. Unfortunately, due to volume we are not able to get back to everyone individually so if you have not heard back from us unfortunately you have not been successful on this occasion but would love to stay in touch for future opportunities.
Overview of interview process at Wireless Logic:
  • Tele Interview - Meet the people team
  • 1st Interview -15 minute call with the Hiring Manager
  • 2nd Interview - Face to Face Interview
If you require reasonable accommodation during the application and selection process, please let us know. We will work together to best meet your needs.
How we work?
We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home. We\'ve adopted a hybrid working approach to give more flexibility on where and how we work. You\'ll find out more about what this means for this role during the recruitment process, but we are currently excited to have our employees experience our office culture as much as possible.
Wireless Logic Group unites and brings people together. We accomplish this when we lead with a lens of diversity, equity, and inclusion in everything we do. As a global company that drives culture we aim to reflect the world\'s diverse voices both internally and externally to ensure success in our mission.
By applying for this role, you are consenting for us to hold and process your data in compliance with the General Data Protection Regulations. If you have any questions or wish to exercise your right to access, erase or restrict the holding or processing of your data please contact us (recruitment@wirelesslogic.com) and we will respond to your query as soon as possible. #J-18808-Ljbffr

Data Engineer in Reading employer: Wireless Logic

At Wireless Logic, we pride ourselves on being a forward-thinking employer that champions innovation and collaboration in the IoT connectivity space. Our vibrant work culture fosters creativity and inclusivity, while our commitment to employee growth is evident through mentorship opportunities and a hybrid working model that balances office engagement with remote flexibility. With a comprehensive benefits package including generous holiday allowances, private medical insurance, and access to wellness programmes, we ensure our team members feel valued and supported in their professional journey.

Wireless Logic

Contact Details:

Wireless Logic Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer in Reading

Tip Number 1

Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. You never know who might have a lead on your dream job!

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and Microsoft tech stack. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process and how you've tackled challenges in past projects. Confidence is key, so let your passion for data shine through!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Wireless Logic!

We think you need these skills to ace Data Engineer in Reading

Data Engineering
Microsoft Tech Stack (SSIS, MS SQL Server, Power BI)
Python
ETL/ELT Processes
Data Quality and Governance
Data Pipeline Architecture
API Development

Some tips for your application 🫡

Show Your Passion for Data:When writing your application, let us see your enthusiasm for data engineering! Share specific examples of projects you've worked on and how they align with our mission to make IoT management a breeze.

Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Data Engineer role. Highlight your experience with the Microsoft tech stack and any relevant projects that demonstrate your skills in building scalable data pipelines.

Be Clear and Concise:We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills at a glance.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our growing team.

How to prepare for a job interview at Wireless Logic

Know Your Tech Stack

Make sure you’re well-versed in the Microsoft tech stack, especially SSIS, T-SQL, and Python. Brush up on your knowledge of data pipelines and ETL processes, as these will be crucial in your role. Being able to discuss specific projects where you've used these technologies will definitely impress.

Showcase Your Data Vision

Prepare to articulate how you envision data and analytics driving business outcomes. Think about examples from your past experience where your data strategies led to significant improvements. This shows that you not only understand the technical side but also the bigger picture.

Communicate Clearly

Since you'll be collaborating with analysts and stakeholders, practice explaining complex data concepts in simple terms. Good communication skills are key, so consider doing mock interviews or explaining your past projects to a friend to refine your delivery.

Be Ready to Mentor

If you have experience mentoring junior engineers, be prepared to discuss it. Share specific instances where you provided guidance or support, as this aligns with the company’s focus on collaboration and team growth. It shows you’re not just a tech whiz but also a team player.