14 of 14 Permanent Apache Spark Jobs in the North East

Knowledge And Expertise Hands-on experience in building ELT pipelines and working with large-scale datasets using Azure Data Factory (ADF) and Databricks. Strong proficiency in SQL (T-SQL, Spark SQL) for data extraction, transformation, and optimisation. Proficiency in Azure Databricks (PySpark, Delta Lake, Spark SQL) for big data processing. Knowledge of data warehousing concepts and relational database … Lake for schema evolution, ACID transactions, and time travel in Databricks. Strong Python (PySpark) skills for big data processing and automation. Experience with Scala (optional but preferred for advanced Spark applications). Experience working with Databricks Workflows & Jobs for data orchestration. Strong knowledge of feature engineering and feature stores, particularly in Databricks Feature store for ML training and inference. … Experience with data modelling techniques to support analytics and reporting. Familiarity with real-time data processing and API integrations (e.g., Kafka, Spark Streaming). Proficiency in CI/CD pipelines for data deployment using Azure DevOps, GitHub Actions, or Terraform for Infrastructure as Code (IaC). Understanding of MLOps principles, including continuous integration (CI), continuous delivery (CD), and continuous More ❯

with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of AWS machine learning services such as SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and More ❯

orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g. … SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J-18808-Ljbffr More ❯

They're Looking For: Experience in a data-focused role, with a strong passion for working with data and delivering value to stakeholders. Strong proficiency in SQL, Python, and Apache Spark , with hands-on experience using these technologies in a production environment. Experience with Databricks and Microsoft Azure is highly desirable. Financial Services experience is a plus but More ❯

of experience in data engineering or a related field, with a focus on building scalable data systems and platforms. Strong expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Deep understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL More ❯

Senior Data Engineer/Data Analytics Engineer - Full Remote Working from anywhere in the UK SQL+Python+ETL+ Apache Airflow Our client is a global leading and fast growing high tech company: -Over 6,500 employees across 20+ offices; -300 Million+ active users on some of the platforms they developed; -Cutting edge AR and VR technologies, 3D printing, etc. They are … FinTech team! You will develop scalable data pipelines, ensure data quality, and support business decision-making with high-quality datasets. -Work across technology stack: SQL, Python, ETL, Big Query, Spark, Hadoop, Git, Apache Airflow, Data Architecture, Data Warehousing -Design and develop scalable ETL pipelines to automate data processes and optimize delivery -Implement and manage data warehousing solutions, ensuring … data integrity through rigorous testing and validation -Lead, plan and execute workflow migration and data orchestration using Apache Airflow -Focus on data engineering and data analytics Requirements: -5+ years of experience in SQL -5+ years of development in Python -MUST have strong experience in Apache Airflow -Experience with ETL tools, data architecture, and data warehousing solutions More ❯

Platform. You're really awesome at: Object oriented programming (Java) Data modelling using any database technologies ETL processes (ETLs are oldschool, we transfer in memory now) and experience with Apache Spark or Apache NiFi Applied understanding of CI\CD in change management Dockerised applications Used distributed version control systems Excellent team player Meticulous and passionate about your More ❯

They’re Looking For: Experience in a data-focused role, with a strong passion for working with data and delivering value to stakeholders. Strong proficiency in SQL, Python, and Apache Spark , with hands-on experience using these technologies in a production environment. Experience with Databricks and Microsoft Azure is highly desirable. Financial Services experience is a plus but More ❯

Lambda) . 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 More ❯

Graduate Data Engineer (Python Spark SQL) *Newcastle Onsite* to £33k Do you have a first class education combined with Data Engineering skills? You could be progressing your career at a start-up Investment Management firm that have secure backing, an established Hedge Fund client as a partner and massive growth potential. As a Graduate Data Engineer you'll join … Science or similar technical/scientific discipline, backed by minimum A A A grades at A-level You have commercial Data Engineering experience working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You have a good understanding of modern data engineering best practices Ideally you will also have experience with Azure and Data … development opportunities Social team atmosphere with a range of events and early finish for drinks on Fridays Apply now to find out more about this Graduate Data Engineer (Python Spark SQL) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose More ❯

pipelines, and implementing scalable solutions that meet the evolving needs of the business. Utilise your strong background in data engineering, combined with your existing experience using SQL, Python and Apache Spark in production environments. The role will entail strong problem-solving skills, attention to detail, and the ability to work independently while collaborating closely with internal and external More ❯

pipelines, and implementing scalable solutions that meet the evolving needs of the business. Utilise your strong background in data engineering, combined with your existing experience using SQL, Python and Apache Spark in production environments. The role will entail strong problem-solving skills, attention to detail, and the ability to work independently while collaborating closely with internal and external More ❯

pipelines, and implementing scalable solutions that meet the evolving needs of the business. Utilise your strong background in data engineering, combined with your existing experience using SQL, Python and Apache Spark in production environments. The role will entail strong problem-solving skills, attention to detail, and the ability to work independently while collaborating closely with internal and external More ❯

complex software with end-to-end ownership • Python or similar (Ruby or Node) or another Functional Language • JavaScript and associated frameworks, preferably Vue, or similar • Cloud technologies • SQL (advantageous) • Spark (advantageous) • Docker/Kubernetes – advantageous ) • MongoDB, SQL, Postgres & Snowflake (advantageous) • Developing online, cloud based SaaS products. • Leading and building scalable architectures and distributed systems • Working in an agile, lean More ❯