Technical Support Engineer Burntwood (phone number removed) Are you an engineer with a flair for problem-solving, technical drawings, and customer support? Our client is looking for a Technical Support Engineer to join their growing team. This is a fantastic opportunity to play a key role in delivering high-quality manufactured products from concept through to production - ensuring client specifications are met on time, within budget, and to the highest standards. What you'll be doing: Preparing tool drawings using CAD software (AutoCAD/SolidWorks) and calculation methods for CNC cutting and press knives. Interpreting and creating detailed technical drawings. Providing hands-on support to contractors and customers on-site as needed. Supporting the Technical Supervisor with day-to-day operations, including responding to customer technical enquiries of varying complexity. Leading research and development of innovative new products, including reverse engineering, testing, product trials, and chairing development meetings. What we're looking for: A degree (or equivalent) in Engineering. Proficiency in AutoCAD or SolidWorks . Strong technical problem-solving skills with the ability to interpret and communicate technical specifications. A proactive approach with the confidence to support clients both in-house and on-site. What's on offer: A competitive salary package. The chance to work on exciting R&D projects. Career growth in a supportive technical environment. Exposure to a variety of industries and engineering challenges. If you're looking for a role where your technical expertise, creativity, and problem-solving skills will be valued, this could be the perfect next step in your career. E-mail or call Callum on (phone number removed) /
03/10/2025
Full time
Technical Support Engineer Burntwood (phone number removed) Are you an engineer with a flair for problem-solving, technical drawings, and customer support? Our client is looking for a Technical Support Engineer to join their growing team. This is a fantastic opportunity to play a key role in delivering high-quality manufactured products from concept through to production - ensuring client specifications are met on time, within budget, and to the highest standards. What you'll be doing: Preparing tool drawings using CAD software (AutoCAD/SolidWorks) and calculation methods for CNC cutting and press knives. Interpreting and creating detailed technical drawings. Providing hands-on support to contractors and customers on-site as needed. Supporting the Technical Supervisor with day-to-day operations, including responding to customer technical enquiries of varying complexity. Leading research and development of innovative new products, including reverse engineering, testing, product trials, and chairing development meetings. What we're looking for: A degree (or equivalent) in Engineering. Proficiency in AutoCAD or SolidWorks . Strong technical problem-solving skills with the ability to interpret and communicate technical specifications. A proactive approach with the confidence to support clients both in-house and on-site. What's on offer: A competitive salary package. The chance to work on exciting R&D projects. Career growth in a supportive technical environment. Exposure to a variety of industries and engineering challenges. If you're looking for a role where your technical expertise, creativity, and problem-solving skills will be valued, this could be the perfect next step in your career. E-mail or call Callum on (phone number removed) /
London, UK (Hybrid 2 days pw) Leading Tech Company About the Company: Our client is a fast-growing technology company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find a talented Senior Data Scientist who is passionate about using data to deliver real business impact. This is a fantastic opportunity to join a collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from large, diverse datasets. Translate complex data findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure data quality and integrity while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving abilities, with the ability to work in ambiguous environments. Excellent communication skills to effectively present insights and recommendations. A collaborative mindset, with the ability to work in a dynamic, fast-paced environment. What's on Offer: Salary 80,000 - 90,000 DOE Hybrid working model with an office in central London. Opportunities for professional growth and development. The chance to work on impactful projects within a forward-thinking tech company. How to Apply: If you're a Data Scientist looking for your next challenge and want to work with a growing tech company that's making an impact, we'd love to hear from you. Please apply via LinkedIn or reach out directly Please note, sponsorship is NOT available for this role.
02/10/2025
Full time
London, UK (Hybrid 2 days pw) Leading Tech Company About the Company: Our client is a fast-growing technology company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find a talented Senior Data Scientist who is passionate about using data to deliver real business impact. This is a fantastic opportunity to join a collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from large, diverse datasets. Translate complex data findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure data quality and integrity while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving abilities, with the ability to work in ambiguous environments. Excellent communication skills to effectively present insights and recommendations. A collaborative mindset, with the ability to work in a dynamic, fast-paced environment. What's on Offer: Salary 80,000 - 90,000 DOE Hybrid working model with an office in central London. Opportunities for professional growth and development. The chance to work on impactful projects within a forward-thinking tech company. How to Apply: If you're a Data Scientist looking for your next challenge and want to work with a growing tech company that's making an impact, we'd love to hear from you. Please apply via LinkedIn or reach out directly Please note, sponsorship is NOT available for this role.
Lead Data Engineer London, UK (Hybrid) Innovative FinTech About the Company: We are partnered with a high-growth FinTech company headquartered in London that is redefining how technology and data can transform financial services. Their mission is to deliver smarter, faster, and more secure financial solutions through cutting-edge platforms powered by data. With rapid expansion and strong investment backing, they are scaling their engineering and data capabilities to support ambitious growth plans. The Role: Our client is seeking a Lead Data Engineer to take ownership of their data infrastructure and lead the build-out of scalable, reliable, and secure data pipelines. This is a senior hands-on role, where you'll also provide technical leadership to a small but growing team. You'll work closely with data scientists, analysts, and software engineers to ensure the company's data strategy underpins their innovative financial products. Key Responsibilities: Lead the design, development, and optimisation of data pipelines and ETL processes. Architect scalable data solutions to support analytics, machine learning, and real-time financial applications. Drive best practices for data engineering, ensuring high levels of data quality, governance, and security. Collaborate with cross-functional teams to integrate data systems with wider product and engineering initiatives. Mentor and guide junior engineers, fostering a culture of knowledge sharing and continuous improvement. Evaluate and implement new technologies, tools, and frameworks to advance the company's data platform. Candidate Profile: Proven experience as a Data Engineer, with strong expertise in designing and managing large-scale data systems. Hands-on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience, with the ability to mentor, influence, and set technical direction. Excellent communication skills and the ability to work effectively in a fast-paced, evolving environment. Compensation: 85,000 - 100,000 base salary + bonus Hybrid working environment, with offices in central London. The opportunity to play a pivotal role in shaping the data function of a rapidly growing FinTech. Exposure to innovative projects and cutting-edge data technologies. A collaborative, forward-thinking culture that values technical excellence. How to Apply If you're an experienced Lead Data Engineer ready to step into a leadership role and want to make an impact in the FinTech space, we'd love to hear from you. Please apply via LinkedIn or email your CV . Please note, sponsorship is not available for this position.
02/10/2025
Full time
Lead Data Engineer London, UK (Hybrid) Innovative FinTech About the Company: We are partnered with a high-growth FinTech company headquartered in London that is redefining how technology and data can transform financial services. Their mission is to deliver smarter, faster, and more secure financial solutions through cutting-edge platforms powered by data. With rapid expansion and strong investment backing, they are scaling their engineering and data capabilities to support ambitious growth plans. The Role: Our client is seeking a Lead Data Engineer to take ownership of their data infrastructure and lead the build-out of scalable, reliable, and secure data pipelines. This is a senior hands-on role, where you'll also provide technical leadership to a small but growing team. You'll work closely with data scientists, analysts, and software engineers to ensure the company's data strategy underpins their innovative financial products. Key Responsibilities: Lead the design, development, and optimisation of data pipelines and ETL processes. Architect scalable data solutions to support analytics, machine learning, and real-time financial applications. Drive best practices for data engineering, ensuring high levels of data quality, governance, and security. Collaborate with cross-functional teams to integrate data systems with wider product and engineering initiatives. Mentor and guide junior engineers, fostering a culture of knowledge sharing and continuous improvement. Evaluate and implement new technologies, tools, and frameworks to advance the company's data platform. Candidate Profile: Proven experience as a Data Engineer, with strong expertise in designing and managing large-scale data systems. Hands-on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience, with the ability to mentor, influence, and set technical direction. Excellent communication skills and the ability to work effectively in a fast-paced, evolving environment. Compensation: 85,000 - 100,000 base salary + bonus Hybrid working environment, with offices in central London. The opportunity to play a pivotal role in shaping the data function of a rapidly growing FinTech. Exposure to innovative projects and cutting-edge data technologies. A collaborative, forward-thinking culture that values technical excellence. How to Apply If you're an experienced Lead Data Engineer ready to step into a leadership role and want to make an impact in the FinTech space, we'd love to hear from you. Please apply via LinkedIn or email your CV . Please note, sponsorship is not available for this position.
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