At a Glance
- Tasks: Design and develop scalable data solutions using cutting-edge technologies.
- Company: Join TEKenable, an award-winning Microsoft partner with a global presence.
- Benefits: Enjoy remote work flexibility, health insurance, and professional development opportunities.
- Other info: Be part of a supportive team that values diversity and collaboration.
- Why this job: Make a real impact on data-driven transformation for diverse clients.
- Qualifications: Experience with Azure Data Platform, SQL, Python, and data integration processes.
The predicted salary is between 50000 - 50000 £ per year.
We’re hiring a Senior Data Engineer to help shape the future of data-driven transformation for our clients. At TEKenable, a multi-award-winning Microsoft partner and one of Deloitte’s Fastest 50, you’ll work with cutting-edge technologies like Microsoft Azure Synapse, Microsoft Fabric, and Power BI. In this customer-facing role, you’ll collaborate directly with clients to solve complex data challenges, delivering scalable solutions that drive real business value. This role is open to applicants across Ireland and the UK but we are unable to provide visa sponsorship. If you're passionate about building scalable data solutions and driving business intelligence, we’d love to hear from you!
In this role as a senior data engineer, you will design, develop, and maintain scalable data pipelines while collaborating with data analysts to understand their requirements. You will implement data integration solutions to support various business needs, ensuring data quality and integrity through rigorous testing and validation. Additionally, you will optimise data systems for both performance and scalability.
Reasons to apply:
- Industry Recognition: Work for an award-winning company. TEKenable is a recognised Microsoft Business Applications Partner of the Year, a certified Great Place to work ® and included in the prestigious Deloitte Fast50 for the last four consecutive years.
- Global Reach: Join a global workforce with 200+ employees and operations in multiple countries, offering a broad perspective along with international experience.
- Remote Work Flexibility: Enjoy the freedom to work from anywhere in Ireland or the UK with this role, offering a great work-life balance.
- Diverse Technology Exposure: Work with a wide range of technologies including Microsoft, Salesforce, and Low Code platforms, enhancing your technical skills and knowledge.
- Professional Growth: Gain certifications in Microsoft as part of your professional development. Opportunities to mentor junior team members and expand your expertise in solution architecture.
- Collaborative Environment: Be part of a supportive team that values excellent communication, customer engagement, and problem-solving skills.
- Challenging Projects: Engage in diverse projects across various industry sectors, providing a stimulating and dynamic work environment.
- Comprehensive Benefits: Enjoy benefits like remote working, health insurance, flexible working hours & company trips.
Experience with the Azure Intelligent Data Platform, including Data Lakes, Data Factory, Azure Synapse, Azure SQL, and Power BI. Knowledge of Microsoft Fabric. Proficiency in SQL and Python. Understanding of data integration and ETL processes. Ability to work with large datasets and optimise data systems for performance and scalability. Experience working with JSON, CSV, XML, Open API, RESTful API integration and OData v4.0.
Sustainability: Experience the flexibility to work from anywhere in Ireland or the UK, avoiding the stress of being stuck in car jams, saving valuable commute time to an office, while actively contributing to a lower carbon footprint and the fight against climate change.
Equipment: We'll set you up with a laptop and any other equipment you might need to get the job done.
Flexible working hours: Once pre-approved by line management, employees can benefit from flexibility around core business hours Monday to Friday.
Health Insurance: We offer a comprehensive health insurance stipend to ensure your well-being and peace of mind.
Pension Scheme: A supportive employee pension scheme is offered to help you build a secure and comfortable future.
Company trips: We're a social group and often get together for activities in Ireland.
TEKenable's culture is built upon the values of resilience, heartfelt service, always striving and insatiable curiosity. Candidates applying for this role need to be able to demonstrate how they have applied these values in other roles and how they'll contribute to them, should they be successful. At TEKenable we foster a culture of diversity and inclusion as we pride ourselves on being a company represented by people of all different backgrounds and orientations. We are committed to providing equal employment opportunities regardless of gender, disability, sexual orientation, generation, ethnicity, religion, family or parental status, neurodiversity or belief.
Interview Process: Once you are successfully selected for interview a dedicated talent acquisition manager will reach out and arrange a short pre-screening call. The interview process will have 2-3 stages and we will work around your availability. All interview stages will be conducted remotely via video calls and arranged at a time that fits with your schedule. We will close the position once the role is filled.
Remote Senior Data Engineer Consultant (ADF, Microsoft Fabric) in Wigan employer: TEKenable
TEKenable is an award-winning IT company that prioritises employee well-being and professional growth, offering a 'Remote First' policy that allows you to work flexibly from anywhere in Ireland or the UK. With a strong focus on digital transformation and a collaborative culture, you'll have the opportunity to work with cutting-edge technologies while engaging in diverse projects that enhance your skills and career development. Enjoy comprehensive benefits, including health insurance, flexible hours, and company trips, all within a supportive environment that values diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Data Engineer Consultant (ADF, Microsoft Fabric) in Wigan
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like TEKenable!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Remote Senior Data Engineer Consultant (ADF, Microsoft Fabric) at TEKenable.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like TEKenable.
✨Apply Directly through Our Website
When you find a suitable opening like Remote Senior Data Engineer Consultant (ADF, Microsoft Fabric) at TEKenable, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Remote Senior Data Engineer Consultant (ADF, Microsoft Fabric) in Wigan
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at TEKenable, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at TEKenable. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at TEKenable
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at TEKenable!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
