expertise, collaborative approach, and commitment to innovation. Simply put – we turn big data problems into smart data solutions . Job Description We are seeking a highly skilled and motivated Databricks Lead to spearhead our Databricks practice. This is a leadership role responsible for driving the growth, innovation, and successful delivery of cloud-based data solutions for our clients leveraging Databricks. … big data and machine learning workflows, driving value through scalable and efficient data architectures. The ideal candidate has a deep understanding of cloud-based data processing, particularly within a Databricks environment, and a passion for leading and mentoring a team of data engineers. This role requires both technical expertise and strategic leadership, making it a unique opportunity for someone who … the future of data-driven solutions within a fast-growing, innovative company. Key Responsibilities The role will be working with the CTO on the following: Develop and lead the Databricks practice, establishing it as a key offering within Data Intellect’s services. Define the strategic vision for the practice, including service offerings, go-to-market strategies, and best practices. Stay More ❯
problem solving, customer-focus, communication, collaboration and punctuality. Technical Skills: Knowledge of Python (desirable). Knowledge of Data Lakes & medallion architecture. Experience of data engineering using Microsoft Fabric or Databricks Experience of MS Azure Platform Proficiency in the following technical areas: (Fabric Power BI, SSRS, SSAS, SSIS). Advanced knowledge of SQL. Advanced computer skills (primarily Excel, Word, PowerPoint, and More ❯
like Apache Airflow or similar. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Nice to have: Hands-on experience with data warehouse and lakehouse architectures (e.g., Databricks, Snowflake, or similar). Experience with big data frameworks (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, or GCP). More ❯
data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching. Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being More ❯
the skills below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest … Language Generation (NLG), or Computer Vision. Awareness of enterprise graph technologies or network analysis techniques. Experience with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus. Comfort working in cloud-based or secure environments, with an interest in MLOps or model deployment. Awareness and practice of responsible AI, data ethics, and governance frameworks. More ❯
the skills below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest … Language Generation (NLG), or Computer Vision. Awareness of enterprise graph technologies or network analysis techniques. Experience with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus. Comfort working in cloud-based or secure environments, with an interest in MLOps or model deployment. Awareness and practice of responsible AI, data ethics, and governance frameworks. More ❯
. Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact More ❯
Belfast, Northern Ireland, United Kingdom Hybrid / WFH Options
Data Intellect
will be doing: Define end-to-end data architectures, ensuring best practices for data governance, access control, and cost optimisation using Unity Catalog and Delta Lake Provide guidance on Databricks best practices for query performance tuning, storage optimisation, and efficient compute resource allocation Guide strategic customers in adopting Databricks Lakehouse as a unified data platform for structured and unstructured market … data architectures Experience with technical project delivery, managing scope and timelines Able to communicate complex technical concepts to business stakeholders Adaptable to evolving technologies and projects At least one Databricks Certification, Data or ML Engineering. Additional Information What we offer: Flexible working – we offer hybrid working so our people can achieve that elusive work/life balance. Professional development – we More ❯
Belfast, Northern Ireland, United Kingdom Hybrid / WFH Options
Danske Bank
Job Description Your Career, Your Danske Bank........You're Danske Bank Your role: Senior Analytics Engineer Data Analytics, Technology & Digital Development Location Donegall Square West, Belfast, Northern Ireland/Hybrid Working Why you'll want to work with us: At Danske More ❯
When you join Kainos, you get to think beyond limitations to make an immediate and positive impact – like transforming digital services for millions of citizens or helping Fortune 500 companies get live and thrive on Workday. You’ll be part More ❯
expertise in Microsoft (Azure) technologies. Leadership: Experience leading technical teams in data-intensive systems. Technical Skills: Proficient in SQL, distributed data stores, and data processing frameworks. Certifications: Azure/Databricks certifications are desirable. Career Development Training: Structured career development and training plans, with incentives for certifications. #J-18808-Ljbffr More ❯
