9 of 9 Remote Data Pipeline Jobs in Northern Ireland

energy and utilities, financial services, government and public services, health and life sciences, and transport. The Data Engineer will have experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. You will join the business at a period of huge growth. JOB … growth area for the business with a diverse and growing capability, and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such … requirements You thrive in problem-solving and analytical thinking You enjoy collaborating with multiple stakeholders in a fast-paced environment Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data More ❯

environments, from centralised Williams Lea onshore facilities, and through best cost company offshore locations. Purpose of the Role This role is responsible for maintaining and expanding the enterprise data model, and for developing, publishing, and maintaining business-critical reports for both internal and external stakeholders. You will collaborate closely with the Data & Analytics team, business stakeholders … and subject matter experts to solve organizational challenges through reporting, analysis, and data visualization. Key Responsibilities Provide enterprise-wide expertise in data modelling, data quality management, report design, environment management, and automated data ingestion/refresh Act as a creative problem-solver, contributing to the full product lifecycle and maintaining an organized … pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on model architecture and data pipelines. Mentor junior engineers and collaborate with data More ❯

resilience in a fast-paced environment, quickly adapting to changing client priorities, technical challenges, and market dynamics. Ethical and Responsible: Uphold high ethical standards in technical solutions and data handling, ensuring responsible use of technology and adherence to compliance requirements, particularly with AI. Leadership Qualities: Demonstrate strong leadership capabilities, inspiring and motivating team members while fostering a supportive … of how AI augments human capabilities in sales and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g. … AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles. Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau, Power BI) to create insightful dashboards and reports for stakeholders. Business Acumen: Deep understanding of business operations, financial implications More ❯

more. At King Entertainment Corp, we're not just creating games — we're crafting moments of joy and connection for millions of users worldwide. Role Overview: As a Data Analyst, you'll play a key role in helping stakeholders across marketing, product, and operations understand player behavior, campaign performance, and platform health. You'll transform raw data … requirements: At least 5 years work experience in the iGaming industry (Social casino; B2C online casino; Sweep stakes; Sportsbook/Sports betting) Built and mentored a team of data analysts Employment type: B2B independent contractor Working Hours: Full-time (40 hours per week) Working days: Monday to Friday Time zone: GMT+1 till GMT +4 Location: UK/Malta … offered: up to EUR 67K/USD 79K gross per year Key Responsibilities: Design, build, and maintain Tableau dashboards and visualizations for operational and strategic reporting. Analyze player data, game performance, and retention trends to identify key opportunities and risks. Work closely with marketing, product, and finance teams to translate data into clear business recommendations. Develop More ❯

Design, build, and deploy AI models into production (not just prototypes or wrappers). Develop and maintain backend Python services that power intelligent automation workflows. Implement enterprise-scale data pipelines for ingesting and processing financial and regulatory documents, with automated data quality checks and monitoring. Train and optimize models on banking rules, compliance standards, and regulatory … track record of deploying AI into production at scale. Technical Skills: Strong backend Python; expertise with ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.); familiarity with modern data pipeline tools (Airflow, Spark, Kafka) and workflow orchestration frameworks such as n8n or LangGraph. Applied AI: Background in enterprise applications such as chatbots, workflow automation, RAG pipelines, or intelligent document More ❯

What will the Senior Product Engineer bring? Strong backend development expertise with Go and additional bonus points for Node.js and Typescript Experience designing secure, scalable backend systems (authentication, data pipelines, APIs) Familiarity with modern cloud infrastructure (GCP or AWS) Ability to communicate technical ideas clearly and influence team direction A passion for building high-quality products that customers More ❯

timelines and billing. Strong commercial awareness: you understand value propositions, return on investment, trade-offs (cost vs speed vs write-down risk), and you factor in risk, compliance, data governance when designing solutions. Key Responsibilities Lead technical discovery and scoping phases with prospective clients: understand their business, compliance, risk, operational, regulatory and data environment. Design solution … architectures leveraging Aveni's products (Detect, Assist, Agents, FinLLM) plus integrations with client systems (e.g. CRM, communication tools, data pipelines). Develop, deliver, and customise demos, POCs, workshops to illustrate value, ROI, regulatory compliance, risk mitigation, etc. Collaborate with sales teams to respond to RFIs/RFPs, proposals, pricing, technical documentation. Be a trusted advisor to clients: articulate … solutions consulting/technical consulting roles, especially in the Financial Services or Wealth Management space. Strong technical background: experience with machine learning, LLMs and AI systems; understanding of data pipelines, integrations, APIs, security and compliance sensitive environments. Ability to design solutions vs just selling features: architectural thinking, trade-off evaluation, understanding of scalability, performance, data governance. More ❯

with Product, Engineering, Operations, and Finance teams to define and ensure accurate execution of the fraud strategy to effectively prevent fraud losses. This role requires extensive use of data analytics to derive insights and develop/update fraud strategies, collaborating with cross-functional partners. Full stack analyst works with the Product teams to develop new fraud features, with … resolution strategies, with the Finance team to help facilitate discussions on portfolio performance and loss forecasting. Come join us in our mission to change consumer finance through better data and technology, lower costs, and increased transparency while providing the best customer experience. What You'll Do Proactively explore data and identify opportunities to help accelerate product … for business logic to improve identity and fraud conversion rates or fraud rates Develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models Evaluate innovative data sources to solve fraud risk, and partner with the data engineering team to develop and maintain the data pipelines for our core datasets for analytical More ❯

From Fivetran's founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We're proud that more organizations continue to leverage our technology every day to … become truly data-driven. About The Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We're looking for a Business Development Representative to join our team! In this role you will work closely with your Account Executives, Marketing and Partner teams to ensure EMEA builds strong … Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes. Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences More ❯