14 of 14 Apache Spark Jobs in Wales

systems Clear communicator, able to translate complex data concepts to cross-functional teams Bonus points for experience with: DevOps tools like Docker, Kubernetes, CI/CD Big data tools (Spark, Hadoop), ETL workflows, or high-throughput data streams Genomic data formats and tools Cold and hot storage management, ZFS/RAID systems, or tape storage AI/LLM tools 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 ❯

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 ❯

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

large-scale data pipelines in secure or regulated environments Ingest, process, index, and visualise data using the Elastic Stack (Elasticsearch, Logstash, Kibana) Build and maintain robust data flows with Apache NiFi Implement best practices for handling sensitive data, including encryption, anonymisation, and access control Monitor and troubleshoot real-time data pipelines to ensure high performance and reliability Write efficient … Skills and Experience: 3+ years’ experience as a Data Engineer in secure, regulated, or mission-critical environments Proven expertise with the Elastic Stack (Elasticsearch, Logstash, Kibana) Solid experience with Apache NiFi Strong understanding of data security, governance, and compliance requirements Working knowledge of cloud platforms (AWS, Azure, or GCP), particularly in secure deployments Experience using Infrastructure as Code tools … stakeholder management skills Detail-oriented with a strong focus on data accuracy, quality, and reliability Desirable (Nice to Have): Background in defence, government, or highly regulated sectors Familiarity with Apache Kafka, Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning algorithms and data 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 ❯

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 ❯

of proficiency developing applications using most of the following: Strong knowledge of SQL and Python programming. Extensive experience working within a cloud environment. Experience with big data technologies (e.g. Spark, Databricks, Delta Lake, BigQuery). Experience with alternative data technologies (e.g. duckdb, polars, daft). Familiarity with eventing technologies (Event Hubs, Kafka etc ). Deep understanding of file formats More ❯

Principal Data Engineer, Consulting Bristol Based You must be eligible for SC Clearance Role Overview The Principal Data Engineer will be responsible for designing and implementing cloud-based data solutions using a range of AWS services. This role involves working More ❯

skills Expertise in modern data architecture (dimensional modelling, data mesh, data lake) & best practices (agile, CI/CD, IaC, observability). Experience with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to More ❯

skills Expertise in modern data architecture (dimensional modelling, data mesh, data lake) & best practices (agile, CI/CD, IaC, observability). Experience with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to More ❯

of market data structures and exchange connectivity Scripting abilities in Python, Bash, or similar languages Knowledge of monitoring tools and alerting frameworks Exposure to data technologies such as Kafka, Spark or Delta Lake is useful but not mandat Bachelor's degree in Computer Science, Engineering, or related technical field This role offers competitive compensation and the opportunity to work More ❯

/frameworks. Broad career progression opportunities across the Group, which includes several high-profile, household-name companies. What you'll bring: Experience with cloud and big data technologies (e.g., Spark, Databricks, Delta Lake, BigQuery). Familiarity with eventing technologies (e.g., Event Hubs, Kafka) and file formats such as Parquet, Delta, Iceberg. Want to learn more? Get in touch for More ❯

to be a part of it! Our Future, Our Responsibility - Inclusion and Diversity at Future We embrace and celebrate diversity, making it part of who we are. Different perspectives spark ideas, fuel creativity, and push us to innovate. That's why we're building a workplace where everyone feels valued, respected, and empowered to thrive. When it comes to More ❯