in at least one of the following additional languages: Java, C#, C++, Scala Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake Good understanding of object-oriented programming (OOP) principles & concepts Familiarity with more »
Strong proficiency in Python and SQL Extensive experience with cloud platforms (AWS, Azure, or GCP) Hands-on experience with big data technologies such as Hadoop, Spark, or Kafka Familiarity with data warehousing concepts and implementation Experience with CI/CD practices and DevOps principles Knowledge of data modeling techniques more »
designing scalable, robust relational and non-relational database architectures Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Hadoop, Spark, Kafka). Proficient in SQL , but also highly skilled in non-relational database querying and manipulation. Experience with ETL frameworks that handle both more »
to create compelling data stories through visualizations. Cloud Platforms: Understanding cloud-based data solutions (Azure, AWS or GCP). Big Data Technologies: Familiarity with Hadoop, Spark, and other big data tools. Machine Learning: Basic understanding of ML algorithms and their applications. AI: Knowledge of AI concepts and potential applications more »
a plus. Preferred Qualifications: Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect. Familiarity with big data processing frameworks like ApacheHadoop or Apache Kafka. Experience working in Agile development environments and using project management tools like Jira. Prior experience with Azure-based data lakehouse architectures more »
one cloud platform (ideally AWS) and its data services Great written and verbal communication skills 👍 Bonus points for: Experience with big data technologies (e.g. Hadoop, Spark, Kafka) Experience with AWS data services (e.g. S3, Athena, AWS Glue) Familiarity with data warehousing solutions (e.g. Redshift, BigQuery, Snowflake) Knowledge of containerisation more »
Advanced working knowledge in SQL and relational databases (e.g., Microsoft SQL Server, Oracle). Big Data Technologies: Familiarity with big data technologies such as Hadoop, Spark, or Kafka is a plus. Data Warehousing: Experience in data warehousing, including data modeling and implementing data pipelines. Data Management: Multi-skilled experience more »
administration - Proficiency in SQL and modern programming languages (preferably Python) - Extensive experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (e.g., Hadoop, Spark, Kafka) - Solid understanding of data modeling techniques and best practices - Experience in designing and implementing data warehousing solutions - Strong problem-solving abilities and more »
fast-paced, high-growth fintech environment - Deep expertise in cloud-based data technologies (AWS, Azure, or GCP) and big data processing frameworks (e.g., Spark, Hadoop) - Strong knowledge of data warehousing concepts, ETL/ELT processes, and data modeling techniques specific to financial services - Experience with real-time data processing more »
Edinburgh, City of Edinburgh, United Kingdom Hybrid / WFH Options
Change Digital
Glue, AWS Redshift, and Python Experience with ETL processes, data integration, and data warehousing. Strong SQL skills Experience with Big Data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud platforms (AWS, Azure, Google Cloud) Working knowledge of data visualisation tools (PowerBI, Tableau, Qlik Sense) Additional skills: Client more »
contributions to the delivery process, manage tasks, and update teams on progress. Skills & Experience: Proven experience as a Data Engineer with expertise in Databricks, Hadoop/Spark. Strong programming skills in Python, Scala, or SQL, with knowledge of CI/CD platforms. Proficiency with distributed computing frameworks and cloud more »
/Jenkins/Docker/Kubernetes/Bamboo Experience of Data warehouse and Big Data technologies such as Snowflake, Databricks, Delta Lake and the Hadoop ecosystem including Spark. Experience of GCP, AWS or Azure preferred Familiarity with LeetCode/HackerRank more »
Salford, England, United Kingdom Hybrid / WFH Options
Tribal Tech - The Digital, Data & AI Specialists
Google API integration Technical Requirements: - Proficiency in Python, Java, or Scala - Strong SQL skills and experience with relational databases - Expertise in big data technologies (Hadoop, Spark, Kafka) - Cloud platform knowledge (AWS, Azure, or Google Cloud) - Experience with ETL tools and data warehousing concepts - Familiarity with NoSQL databases and containerization more »
Strong skills in SQL, Python, and ETL frameworks. Experience in data modeling, schema design, and data warehousing. Familiarity with big data technologies such as Hadoop, Spark, and Kafka. Skills: Strong problem-solving abilities, with a focus on automation and process optimization. Ability to collaborate effectively in a fast-paced more »
optimal data extraction, transformation and loading using leading cloud technologies including Azure and AWS. Leverage Big Data Technologies - you will utilise tools such as Hadoop, Spark and Kafka to design and manage large-scale data processing systems. Extend and maintain the data Warehouse - you will be supporting and enhancing more »
Employment Type: Permanent
Salary: £57500 - £60000/annum Pension, Healthcare, Bonus & Much Mo
Bristol, Avon, South West, United Kingdom Hybrid / WFH Options
Bowerford Associates
optimal data extraction, transformation and loading using leading cloud technologies including Azure and AWS. Leverage Big Data Technologies - you will utilise tools such as Hadoop, Spark and Kafka to design and manage large-scale data processing systems. Extend and maintain the data Warehouse - you will be supporting and enhancing more »
e.g., Basel III/IV, CRR/CRD). Technical Skills: Proficiency in data engineering tools and technologies such as Apache Airflow, Spark, Kafka, Hadoop, or similar. Strong SQL skills and experience with relational and NoSQL databases. Experience with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (e.g. more »
City of London, London, United Kingdom Hybrid / WFH Options
WWT AI Tech
a related field. Certification in AI/ML or cloud computing (e.g., AWS Certified Machine Learning Specialty). Experience with big data technologies (e.g., Hadoop, Spark). Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow). Working Conditions: Office environment with potential for remote work. May require occasional more »
City Of London, England, United Kingdom Hybrid / WFH Options
Sphere Digital Recruitment | Best Small Company 2022
such as AWS, Google Cloud, or Azure. A solid understanding of database systems, data modelling, and ETL processes. Experience with big data technologies like Hadoop or Spark is a plus. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment. A passion for data more »
and product stakeholders to meet requirements Desirable Skills AI Tools: Familiarity with TensorFlow, PyTorch, Keras, and Scikit-learn Data Engineering: Knowledge of Apache Spark, Hadoop, and Kafka Model Deployment: Experience with Docker, Kubernetes, and MLflow Testing: Knowledge of AI testing frameworks and methodologies Frontend Technologies: Experience with React and more »
Python, R, SQL, and other data science/ML tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Strong business acumen and the ability to translate complex data insights into actionable strategies. Excellent more »
Liverpool, Merseyside, United Kingdom Hybrid / WFH Options
Randstad Technologies Recruitment
Develop dashboards and support various teams. Build a digital/data science team and deliver training. Tech Stack: SQL, Python Big Data tools (e.g., Hadoop, Spark) Cloud platforms (e.g., AWS, Azure) Data visualization (e.g., Power BI, Tableau) ETL tools (e.g., Apache NiFi, Talend) Requirements: Degree in Data Analytics, Computer more »
Develop dashboards and support various teams. Build a digital/data science team and deliver training. Tech Stack: SQL, Python Big Data tools (e.g., Hadoop, Spark) Cloud platforms (e.g., AWS, Azure) Data visualization (e.g., Power BI, Tableau) ETL tools (e.g., Apache NiFi, Talend) Requirements: Degree in Data Analytics, Computer more »
and programmes Experience of designing solutions with high resilience and always on capabilities. Must have a good understanding of big data technologies such as Hadoop, Teradata etc and database technologies such as DB2, Oracle etc(important) Experience in work within PaaS environments or Federated delivery models Certifications TOGAF (Important more »
and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »
