Technical Architect

Chester
1 year ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Data Governance Lead

Senior Data Architect

Data Architect

Data Architect - Power BI Specialist

Exciting Opportunity for a Technical Architect! 🌟

πŸ’Ό Our client, a leader in the corporate sector, is seeking a talented Technical Architect to join their team. If you're passionate about developing and maintaining data solutions using the Cloudera platform, this is the role for you! πŸ’»

🏒 Location: Chester (3 days onsit)

βŒ› Contract Length: 12 months

πŸ’Έ Competitive Daily Rate: Β£650 - Β£750 (inside IR35 via umbrella)

🌐 Our client offers hybrid working, providing you with flexibility in your work-life balance. 🌍

πŸ”§ As a Technical Architect, your responsibilities will include:

Leading the technical architecture design for the Corporate Mobile platform.
Collaborating with cross-functional teams to understand data requirements.
Designing, developing, and implementing data processing pipelines and data ingestion frameworks.
Utilising pyspark, ezflow, and other tools for handling data within a Hadoop environment.
Solving problems with a focus on product development.

βœ… Requirements:

Proven experience working with and creating data architectures.
Excellent problem-solving skills.
Strong written and verbal communication skills.
A drive to learn and adapt to new technologies.

🎯 Desired Skills:

Experience working with AutoSys.
5-7 years of experience with distributed data/computing tools such as Hadoop, Hive, and MySQL.

Become part of a dynamic team, working with cutting-edge technologies to drive innovation in data solutions! Apply now by sending your CV πŸ“§ - Please note, only successful candidates will be contacted.

✨ Don't miss out on this fantastic opportunity! Join our client's team and take your career to new heights. ✨

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science β€” or progress your career β€” it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive β€” but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: πŸ‘‰ You don’t need to know every data science tool to get hired. πŸ‘‰ You need to know the right ones β€” deeply β€” and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not β€œ27” β€” it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application β€” and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics β€” it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications β€” and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.